102 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers in Germany
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technical expertise, coordinate collaborative workflows, and contribute to data analysis and project development. The position is to be filled by 01.03.2026 or 01.04.2026. Your tasks You will work with lung
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we are active and recognized in numerous initiatives and networks. The Institute of Computational Biology (ICB) is globally recognised for innovations in data analysis and modelling of biological
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. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The Schlatt
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as well as in the rapidly growing fields of Digital Ocean Twins and multiuse of resources. Your tasks We are looking for a motivated and eager-to-learn new colleague with good programming or data
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Labeling and Imaging“ Dr. Gražvydas Lukinavičius Am Fassberg 11 37077 Göttingen Germany www.mpinat.mpg.de/ Information pursuant to Article 13 DSGVO on the collection and processing of personal data during
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fields of Digital Ocean Twins and multiuse of resources. Your tasks We are looking for a motivated and eager-to-learn new colleague with good programming or data science skills. The applicant will use
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of sintered structures Structured storage of research data in the electronic laboratory notebook Preparation of publications, participation in conferences Supervision of students Your qualifications
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: 01.12.2025 Closing date: 11.01.2026 For further information, please contact Katrin MacLeod, phone 0531 6181-1001, email: katrin.macleod@helmholtz-hzi.de . How to apply: When sending us
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
information behaviour, goal-oriented and structured way of working, initiative/commitmentand, ability to work in a team and willingness to cooperate as well as conceptual, strategic and innovative thinking
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to) For AI in Biomedicine: Representation learning for complex biomedical data Large language models for patient records and multi-omics Generative AI for therapeutic and molecular design Fair, robust and