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Job advertisement HKI-14/2026 At the Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), we investigate the pathobiology of microorganisms and develop new natural
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Skłodowska-Curie Actions (MSCA COFUND). The programme is focused on six research areas, which reflect the scientific pillars of Leibniz-HKI: discovery & engineering of novel antifungals from microbiomes
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to independently design and lead a postdoctoral research project focused on developing adjuvant CAR T cell therapies targeting melanoma metastasis founder cells. A central component of the project is the use
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and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment, materials, and chemistry and process engineering. We
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. Requirements for employment are a completed PhD degree in a relevant field (computational linguistics, computer science, cognitive science, or similar), near native-level of spoken and written English, and
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Limitation Fixed Term The position is fixed-term until 31/12/2027. Team SynTra Applikationslabor Application Period April 25, 2026 Employment volume Full Time The Max Delbrück Center for Molecular Medicine in
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Job Advertisement Job-ID 03/2026 At the Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), we investigate the pathobiology of microorganisms and develop new natural
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. “Diversity in perspectives” is one of GFZ's core values. As an integral part of supporting diversity at our centre, we actively promote women in science and in leadership positions. We, among others, do
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the Institute of Mathematics and Computer Science
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 19 days ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience