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to join our team. Tasks may include: Develop methods to analyze multimodal digital N-of-1 trials (patient reported outcomes, wearables, images, audio) linking causal inference and deep learning Develop
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find details here: https://trr341.uni-koeln.de/join-us. OUR OFFER As a TRR 341 early career researcher, you will benefit from the unique and interdisciplinary TRR 341 research network in the field
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. For the purposes, we develop and use advanced (X-ray-based) methods. Your Job Lead the conceptual design, simulation, and implementation of a unique high-energy X-ray beamline for long-term operando investigations
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receptors for structure-based ligand design projects in order to develop prediction methods to identify new food-derived modulators of olfactory receptors and to capture the molecular bases of olfactory
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establish a research profile. Develop and execute innovative research projects. Develop, train, and evaluate modern machine-learning models on GPU/HPC infrastructure. Integrate AI methods with scientific
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
form below this job advertisement on our website. If you hold an international higher education qualification, please also submit a certificate evaluation from the Central Office for Foreign Education
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climate. In addition, the successful candidate uses the model chain to develop stress tests, assess the effectiveness of specific risk-reduction measures, develop maps of compound flooding, and provide
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=27970 Post-doctoral scientist (m/w/d) Stellenanzeige merken Stellenanzeige teilen wanted as soon as
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of underrepresented groups in Computer Science. The Technical University of Munich plans to strengthen its research and teaching in chip design at its Heilbronn Campus from the upcoming winter term 2026/2027. Within a
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of AI for next-generation microbiome research? We are looking for a highly motivated researcher to develop novel machine learning and computer vision methods for autonomous live-cell microscopy