37 assistant-professor-computer-science-data "https:" "https:" positions at Heidelberg University in Germany
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) The Institute of Computer Engineering (ZITI) at Heidelberg University invites applications for one research assistant position with the possibility to do a PhD in parallel at the chair of computer architecture
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, VEIL.AI) on federated, privacy-compliant data sharing. Document analysis results and prepare scientific publications. Your profile Master degree in Bioinformatics, Computational Biology, Data Science, or
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-heidelberg.de , https://www.cctp.uni-heidelberg.de/en/core-facilities-and-technology-development and https://www.uni-heidelberg.de/en/institutions/research-institutions/collaborative-research-centres The Tenure
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26729 Postdoc - Molecular Biology Research in AML (f/m/d) Stellenanzeige merken Stellenanzeige teilen
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sequencing output. This project brings together chemical biology, molecular biology, and computational science to achieve direct, single-molecule resolution of RNA cap structures. Job-ID: V000015123 Field
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contributing to building an ambitious programme from the ground up. Job-ID: V000015284 Field of application: Zentrum für Infektiologie Location: Heidelberg Job Category: Science and teaching Working hours: full
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(www.denkglobaldx.org), our department hosts a diverse and interdisciplinary team working across diagnostic innovation, clinical and implementation research, mathematical modelling, data science, and health-economic
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supportive, open and friendly team Contact & Application For further information please contact Professor Kulozik via our online portal. Interested? Applications will be accepted until 22.01.2026 direct online
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join our Modelling & Data Science Team and support two international research projects aiming to advance diagnostic tools for tuberculosis and respiratory infections (incl. breath-based tools) through
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underpinnings of tumour growth patterns and the cellular interactions enabling malignancy. The integration with available methylation, histopathologogical and clinical data will help establish links to current