40 computer-science-programming-languages-"UCL"-"UCL" positions at Heidelberg University in Germany
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applications for a Full Professorship (W3) in “Multimodal Imaging” (f/m/d) to be filled at the earliest possible date. We are searching for a researcher with an internationally visible, original research program
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; Individualized mentoring A qualification program tailored to academic as well as professional career paths. The positions are limited up to 3+1 years, starting 1 April 2026; salaries are predicated on the German
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of computer science, e. g. computer science, data science, bioinformatics or a related field or in the natural sciences At least 3 years of professional experience in the planning, implementation and optimization
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or cognitive science or related Programming skills, particularly in Python (including interface integration) Experience with handling LLMs (e.g., GPT-4) and their API interface Basic knowledge in Natural Language
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university degree (master’s) or completed doctorate Excellent knowledge of software development, including web-based software Excellent knowledge and experience in at least one programming language, including
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for Mass-Spectrometry Imaging / Spatial Metabolomics (f/m/d) This position is funded by the MULTI-SPACE alliance of the Health & Life Science Alliance Heidelberg & Mannheim, supporting a joint Mass
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English version see below. Am Institut für Ur- und Frühgeschichte und Vorderasiatische Archäologie im Zentrum für Altertumswissenschaften (ZAW) der Universität Heidelberg ist ab dem 01.10.2026 eine
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Biology, Developmental Biology, Genetics or Molecular Biology Experience with cell culture and wet lab techniques, including DNA/RNA/protein analyses Good command of the English language Strong teamwork
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The Climate-Life nexus initiative at Heidelberg University brings researchers together social science and health with natural science to conduct transdisciplinary research in the intersection
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literacy with at least basic programming skills (R, Python). Analytical mindset, with a keen interest in advancing proteomic methodologies Knowledge of cancer biology is an advantage We offer Cutting-edge