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-supervision of Dr. Claudia Fichtel. The project is part of a broader collaborative effort involving Prof. Peter Kappeler (DPZ), Dr. Ariana Strandburg-Peshkin (Max Planck Institute of Animal Behavior) and Prof
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for Energy Business and Economics Research (CEnBER - https://www.rug.nl/cenber/ ) and in the research programme Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by
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– United Kingdom PhD programme: Harper Adams University PhD programme Fixed term until 30 September 2028 Research project description Agricultural robots and Artificial Intelligence (AI) technologies could soon be
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chemical reaction networks with robotic systems and analytical science. You will also learn how to programme robotic systems and how to implement aspects of deep learning and neural networks for reservoir
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Job Description A PhD position focusing on structural and functional characterization of ciliary protein complexes derived from human cells is available in the research group of Assistant Prof
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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steel industry. A world without steel is unimaginable, yet we need to produce this steel sustainably. The Groeien met Groen Staal programme (GGS) aims at making the Dutch steel sector CO2 -neutral by 2050
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 2 months ago
Research in Rostock, Germany, one of the leading centres for demographic research in the world. They will have the opportunity to apply for a place in the IMPRS-PHDS programme. For the remainder
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@bristol.ac.uk or Prof. Ben Hicks ben.hicks@bristol.ac.uk How to apply: Prior to submitting an online application, you will need to contact the project supervisor to discuss. Online applications are made at http
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., machine learning, stochastic dynamic programming, simulation). Affinity with (food) supply chain management is preferred. To collaborate with and to co-supervise MSc thesis students and internship students