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Field
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the development of scientific networks in an international environment of the Göttingen campus and beyond. GAUSS provides the organisational and regulatory umbrella for this programme. It was founded in 2005 by
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to the activities of the SIR-V2G project wich primary objective is to address the challenges arising from the large-scale integration of electric vehicles (EVs) into distribution networks by developing smart
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to identify the key factors controlling enzyme performance in complex mixtures. Molecular modelling will be used to interpret experimental trends and support the development of improved process
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and to understand their environmental implications. Project Motivation Hydrogen propulsion is an important enabler of green propulsion in the transition to net-zero. However, this introduces a new and
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Actions (MSCA) Doctoral Network HEPARD PhD position in Health Economics and Precision Cancer Apply for this job See advertisement Job description Applications are invited for a 3-year position in a
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Jyvaskyla University of Manchester Kone Oyi The candidates will have the opportunity to visit various partners in the network, supported by a mobility allowance. At the Chair of Machine Learning for Complex
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of Engineering at the University of Nottingham, which conducts cutting-edge research into human–technology interaction, cognitive workload, decision-making, and the design and evaluation of complex socio-technical
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distribution infrastructures, and heterogeneous networks and storage environments based on Cloud based services, CDNs and Edge Computing. This complex chain of delivery has negative implications
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(Hamenstaedt), Complex Algebraic Geometry (Huybrechts), Global Analysis (Mueller), Topology (Barthel, Bottman, Ozornova, Schwede), Geometric Topology (Avramidi, Stadler), Representation Theory (Stroppel) and
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or complex interconnected networks. Importantly, both sensor and helper partners are required for resistance upon pathogen infection. In the ERC-funded project “CooPAIRation”, we aim to harness the genetic