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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | 19 days ago
great opportunity for highly talented young scientists wanting to transition from PhD student to junior group leader. It supports young scientists in exploring their own ideas and testing new hypotheses
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suitable for the evaluation of biopharmaceuticals (antibodies, nanobodies, …) • Develop and validate protocols for the formation of multicellular liver organoids in microfluidic devices (hepatocytes, LSECs
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of disciplines. We are currently one of the top UK HCI groups; publishing a number of papers at top venues (e.g. ACM CHI). Dr Neate currently leads a team of two researchers and six PhD students, with a strong
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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the provisions of the collective bargaining agreement. You will mentor your students. You will participate in evaluation measures and quality assurance. You will perform administrative tasks in research and
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–performance relationships. • Evaluate the influence of coating composition and MOF incorporation on the permeation of oxygen, carbon dioxide, and nitrogen. • Validate the application of the developed coatings
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/or LC-MS, and plant bioassays to evaluate the biostimulant activity of the extracts, within the context of biotechnological applications of microalgae in agriculture. Further details are available
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of the Iversen group. The candidates must have a PhD in chemistry, crystallography, physics, materials science or similar. About us The Brummerstedt Iversen group is a diverse and competent team of students and
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to model HBV induced immune pathologies and have recently evaluated a direct acting antiviral in this context resulting in some functional cures (Fernandes et al. Cell Host & Microbe 2026). Project
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will join a research group working on longitudinal models of multiple chronic diseases across the life course. The postdoctoral researcher will contribute to building and evaluating machine learning