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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 3 days ago
is in the field of exploring stellar endpoints, e.g., supernova remnants and neutron stars. Successful candidates shall make use of various data from current radio, optical, and high-energy
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research the Growing schools; Growing futures initiative, thereby contributing to the research program of the SciTeach Center team, led by Prof. Dr. Christina Siry. The PhD candidate will engage in
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. The specific focus of the PhD projects will be tailored to the candidate’s interests and will align with the objectives of the aforementioned consortia. These projects work at the interface of the gut microbiome
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WIAS Berlin, Weierstrass Institute for Applied Analysis and Stochastics Position ID: 2306 -PHD [#26752, 25/11] Position Title: Position Location: Berlin, Berlin 10117, Germany [map ] Appl Deadline
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research using big data. He/she will be expected to take a leading role in overseeing research projects and supervising junior research staff. Enquiries about the duties of the post should be sent to Prof
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equitable urban energy systems. Our work combines technology and policy with systems thinking and practical implementation, always grounded in real-world urban challenges. As part of the SWEET DecarbCH
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the European Innovation Council (EIC), you will work in close collaboration with researchers at DTU, Cambridge University, Technical University Munich, Imperial College London and the company SolarFoods. You
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the research group on Scientific Computing and High Performance Computing. For more details, see https://www.peter-zaspel.de/ and https://hpc.uni-wuppertal.de . Prof. Dr. Michael Günther is professor in
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. The PhD student will work under the supervision of Prof. Voets and in close collaboration with Prof. Wouter Everaerts from UZ Leuven’s urology department. The research team has a strong track record in
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Parkinson’s Disease, or markers of brain structure and functioning, depending on the dataset. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in