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sustainable and resilient agricultural systems. The research team you will join is coordinating an international program that brings together leading scientists from around the world to investigate beneficial
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‑vitro studies to elucidate mechanisms of cellular uptake, endo‑lysosomal trafficking, immunomodulation, and therapy‑relevant regulated cell‑death programs (e.g., ferroptosis/cuproptosis). Working closely
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experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and analytical skills in model evaluation Experience in advanced
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associate to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC CMM researchers with drug discovery experts
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enquiries can be directed to Prof. Kai Wirtz (kai.wirtz@hereon.de ). Your profile MSc and PhD in environmental sciences, physics or related disciplines with experience in programming languages (e.g., Fortran
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Postdoctoral Research Associate - Basic and Translational Research Training in Pediatric Classical H
-malignant blood diseases, such as sickle cell disease, bone marrow failure syndromes, and myeloproliferative disorders. This premier NHLBI-sponsored T32 training program leverages the exceptional research
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Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in infectious disease therapeutics. This NIH sponsored training program has been designed to leverage the outstanding
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the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with
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. The center gives access to a broad range of infrastructure, tools and expertise including clean-room facilities. With a 5-year undergraduate nanotechnology program and nanoscience graduate program
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discipline (e.g. Medical Informatics, Computer Science, Data Science, Computational Social Science, Epidemiology, Biostatistics, etc.) Strong research track record, programming, and implementation skills