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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural
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-responsive proteins to develop genetic switches and circuits in therapeutically relevant bacteria. Your tasks: Use computational tools to design protein structures with desired properties Produce
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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
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advanced wet-lab experience in molecu-lar biology and in reverse genetic approaches. You fit to us: • You are an outstanding and highly-motivated postdoc-toral researcher with the ambition and commitment
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Knowledge of the NCP concept Basic knowledge of Swahili Teaching experience We Offer Access to an international network of scientists, policymakers, and research organizations A dynamic working environment in
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of scientists, policymakers, and research organizations The chance to shape cutting‑edge monitoring solutions that directly inform MPA management and conservation policy. A dynamic working environment in
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. The position is available from 1st December 2025, but starting time is flexible. Focus of the project is the investigation of the link between the dynamics of synaptic structural plasticity and the probability
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
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care, research, and teaching. If you want to be part of a dynamic and inspiring environment where your ideas and commitment are valued, then you are in the right place with us. Apply easily by August
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We offer: The successful candidate will be hosted in the junior research group Metabolomics-guided Natural Product Discovery and be part of a young and dynamic team. The Leibniz-HKI is embedded in