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are seeking a highly motivated and talented PhD student (m/w/d, E13 TV-L, 65%) to join our team and contribute to cutting-edge research in the field of metabolic diseases. Job description The RTG 2816 is a
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Description Fully funded (and no tuition) PhD program in genetic, molecular, cellular, circuit based Neuroscience and translational, clinical research in Psychiatry. There is the option for a
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the
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development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de
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), electrochemical impedance spectroscopy, plant engineering High motivation for pursuing a PhD within 3 years Excellent organizational skills Ability to show initiative and work independently Excellent cooperation
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 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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divisions and research groups, the focus of our 1,400 scientists is to unravel the causes and mechanisms of cancer development and progression, and to develop novel strategies for the diagnosis, early