The main objective of boDEREC is the design of an integrated management of water works that guarantees increased quality of drinking water. The more or less unknown type of pollution from the category of Pharmaceuticals and Personal Care Products (PPCP) find their way into the environment through excretion, household waste, waste and sewage, bathing and wastewater, and direct disposal. While many of these compounds are broken down and degraded, many will not, and will persist in the soil and reclaimed water, and create potential hazards to environmental and human life. Most waste water treatment plants are not able to eliminate PPCP. To achieve this goal, the PPCP contents will be monitored from their sources, via the watercourse, the aquifer to the waterworks at selected pilot sites. Waterworks operators will get a tool to optimize their activities, depending on the current quality of source water. The outputs of the project will also include recommendations for changes to legislation on drinking and wastewater standards and technical solutions. The specific objective of the project is dissemination activities, aimed at organizing international workshops and training. In view of the cross-border dimension of the problem addressed, the professional public will be informed about the results achieved and the ways of solving them.
During the last decade, networks with complex topology have become a very powerful approach for understanding large complex systems in various fields of applications ranging from Neuroscience, via Engineering to Sociology and Economy. So far, most studies have concentrated on fixed topology, i.e. were strongly restricted in their applicability. Therefore, we intend to study in this IRTG principles of self-organization in evolving complex networks. To bring these principles closer to various applications, we will in addition investigate the influence of heterogeneity in the network structure, multiscale time delays and stochasticity. These theoretical studies will be intimately connected with the investigation of experimental and natural dynamical networks of increasing complexity starting from lasers, via hybrid networks of neurons to the Earth system. The latter one is a special challenge for the network theory and it will be a focus of this IRTG. In this context, the main topic will be to understand the functioning of the Earth s subsystems under changing conditions, especially global warming and deforestation in Amazonia. A key goal of this interdisciplinary IRTG will be to develop a structured PhD program which will enable young researchers to work in network theory as well as across various fields of network applications. It comprises education on modern theoretical concepts and training on network applications, even involving 'hands-on' experience with the corresponding experiments. The training program includes dual supervision of each student, annual schools, workshops and on-site learning, but innovative forms of learning and communication such as teleconferences, e-learning, or wikiversity will be extensively used too. Special emphasis will be devoted to soft skills education by making use of the Humboldt Graduate School and the University of Sao Paulo.
Symbiosis research is currently in the midst of a revolution as molecular techniques are leading to major breakthroughs in our understanding of interactions between animals and microbes. There is an emerging recognition that all animals are intimately associated with a complex community of beneficial microbes that are essential for their development, nutrition, and health. Thus, modern symbiosis research has become a newly emerging supra-disciplinary field with novel and innovative methods for examining microbial symbiosis, the vast majority of which remain as yet uncultivable. As so often when novel technologies open up new areas of research, training for students lags behind. We propose to close this gap by offering a comprehensive and innovative training in the microbial ecology and evolution of animal symbionts. The proposed ITN Symbiomics will include 14 leading research groups as well as 4 top-tier participants from the private sector to provide 14 early stage researchers (ESRs) and 1 experienced research (ER) with an interdisciplinary and synergistic training. Cutting edge methods in molecular biology and image analysis will be used to analyze a broad range of hosts from protozoan and invertebrate animal groups. Symbiomics will provide training through a combination of local and network-wide activities that will include research, secondments, workshops and courses including soft skills training, networking and meetings, regular thesis committee meetings, and mentoring. By pooling the scientific, technological, and entrepreneurial expertise of the Symbiomics partners, this ITN will provide a synergistic research environment and training that extends far beyond what each partner would be able to offer with local training alone. At the end of their training, the early stage researchers will have the skills they need for successful careers in academia and industry in a broad range of disciplines in the fields of environmental, applied, and medical microbiology.
Die Projektpartner werden ein hochschulübergreifendes modulares Fort- und Weiterbildungsangebot zu den Themenfeldern der Elektromobilität erforschen. Ziel ist die Entwicklung neuartiger Weiterbildungskonzepte mit Unterstützung durch virtuelle Labore und physisch erlebbare Bildungswerkstätten für akademische Berufsfelder wie Ingenieure, Techniker und Management. An Universitäten und Hochschulen der Metropolregion werden dazu exemplarisch hochschulübergreifende praxisorientierte und flexibel kombinierbare Fort- und Weiterbildungsangebote zu wichtigen Themenfeldern der eMobilität geschaffen. Neben den physisch erlebbaren Bildungswerkstätten wird eine Softwareumgebung (Konfigurator) den Einsatz, die Konfiguration und Wechselwirkungen von einzelnen Komponenten und auch ganzen Systemen der eMobilität darstellen und einer größeren Öffentlichkeit zugänglich gemacht. Die Weiterbildungsmaßnahmen werden dabei die Bildungswerkstätten, den Konfigurator nutzen. Darüber hinaus werden aktuelle Forschungsergebnisse und neuste Versuchs- und Technikaufbauten interessierten Teilnehmern zugänglich gemacht. Evaluierungen überprüfen zum Ende der Projektlaufzeit die Wirksamkeit der neuen Verfahren und ermöglichen Empfehlungen für die Verwertung zu geben.
Die Projektpartner werden ein hochschulübergreifendes modulares Fort- und Weiterbildungsangebot zu den Themenfeldern der Elektromobilität erforschen. Ziel ist die Entwicklung neuartiger Weiterbildungskonzepte mit Unterstützung durch virtuelle Labore und physisch erlebbare Bildungswerkstätten für akademische Berufsfelder wie Ingenieure, Techniker und Management. An Universitäten und Hochschulen der Metropolregion werden dazu exemplarisch hochschulübergreifende praxisorientierte und flexibel kombinierbare Fort- und Weiterbildungsangebote zu wichtigen Themenfeldern der eMobilität geschaffen. Neben den physisch erlebbaren Bildungswerkstätten wird eine Softwareumgebung (Konfigurator) den Einsatz, die Konfiguration und Wechselwirkungen von einzelnen Komponenten und auch ganzen Systemen der eMobilität darstellen und einer größeren Öffentlichkeit zugänglich gemacht. Die Weiterbildungsmaßnahmen werden dabei die Bildungswerkstätten, den Konfigurator nutzen. Darüber hinaus werden aktuelle Forschungsergebnisse und neuste Versuchs- und Technikaufbauten interessierten Teilnehmern zugänglich gemacht. Evaluierungen überprüfen zum Ende der Projektlaufzeit die Wirksamkeit der neuen Verfahren und ermöglichen Empfehlungen für die Verwertung zu geben.
Die Projektpartner werden ein hochschulübergreifendes modulares Fort- und Weiterbildungsangebot zu den Themenfeldern der Elektromobilität erforschen. Ziel ist die Entwicklung neuartiger Weiterbildungskonzepte mit Unterstützung durch virtuelle Labore und physisch erlebbare Bildungswerkstätten für akademische Berufsfelder wie Ingenieure, Techniker und Management. An Universitäten und Hochschulen der Metropolregion werden dazu exemplarisch hochschulübergreifende praxisorientierte und flexibel kombinierbare Fort- und Weiterbildungsangebote zu wichtigen Themenfeldern der eMobilität geschaffen. Neben den physisch erlebbaren Bildungswerkstätten wird eine Softwareumgebung (Konfigurator) den Einsatz, die Konfiguration und Wechselwirkungen von einzelnen Komponenten und auch ganzen Systemen der eMobilität darstellen und einer größeren Öffentlichkeit zugänglich gemacht. Die Weiterbildungsmaßnahmen werden dabei die Bildungswerkstätten, den Konfigurator nutzen. Darüber hinaus werden aktuelle Forschungsergebnisse und neuste Versuchs- und Technikaufbauten interessierten Teilnehmern zugänglich gemacht. Evaluierungen überprüfen zum Ende der Projektlaufzeit die Wirksamkeit der neuen Verfahren und ermöglichen Empfehlungen für die Verwertung zu geben.
During the last decade, networks with complex topology have become a very powerful approach for understanding large complex systems in various fields of applications ranging from Neuroscience, via Engineering to Sociology and Economy. So far, most studies have concentrated on fixed topology, i.e. were strongly restricted in their applicability. Therefore, we intend to study in this IRTG principles of self-organization in evolving complex networks. To bring these principles closer to various applications, we will in addition investigate the influence of heterogeneity in the network structure, multiscale time delays and stochasticity. These theoretical studies will be intimately connected with the investigation of experimental and natural dynamical networks of increasing complexity starting from lasers, via hybrid networks of neurons to the Earth system. The latter one is a special challenge for the network theory and it will be a focus of this IRTG. In this context, the main topic will be to understand the functioning of the Earth s subsystems under changing conditions, especially global warming and deforestation in Amazonia. A key goal of this interdisciplinary IRTG will be to develop a structured PhD program which will enable young researchers to work in network theory as well as across various fields of network applications. It comprises education on modern theoretical concepts and training on network applications, even involving 'hands-on' experience with the corresponding experiments. The training program includes dual supervision of each student, annual schools, workshops and on-site learning, but innovative forms of learning and communication such as teleconferences, e-learning, or wikiversity will be extensively used too. Special emphasis will be devoted to soft skills education by making use of the Humboldt Graduate School and the University of Sao Paulo.
During the last decade, networks with complex topology have become a very powerful approach for understanding large complex systems in various fields of applications ranging from Neuroscience, via Engineering to Sociology and Economy. So far, most studies have concentrated on fixed topology, i.e. were strongly restricted in their applicability. Therefore, we intend to study in this IRTG principles of self-organization in evolving complex networks. To bring these principles closer to various applications, we will in addition investigate the influence of heterogeneity in the network structure, multiscale time delays and stochasticity. These theoretical studies will be intimately connected with the investigation of experimental and natural dynamical networks of increasing complexity starting from lasers, via hybrid networks of neurons to the Earth system. The latter one is a special challenge for the network theory and it will be a focus of this IRTG. In this context, the main topic will be to understand the functioning of the Earth's subsystems under changing conditions, especially global warming and deforestation in Amazonia. A key goal of this interdisciplinary IRTG will be to develop a structured PhD program which will enable young researchers to work in network theory as well as across various fields of network applications. It comprises education on modern theoretical concepts and training on network applications, even involving 'hands-on' experience with the corresponding experiments. The training program includes dual supervision of each student, annual schools, workshops and on-site learning, but innovative forms of learning and communication such as teleconferences, e-learning, or wikiversity will be extensively used too. Special emphasis will be devoted to soft skills education by making use of the Humboldt Graduate School and the University of Sao Paulo.
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