126 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in Germany
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
diagnosis of IEIs and better understand cancer syndromes. These integrative analyses are central to translating genomic data into clinical insights (e.g., Haimel et al., J. Allergy Clin. Immunol. 2021
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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Department of Machine Learning for Infection and Disease is looking for a Postdoc (f
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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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: 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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establishing research data management Collaboration with internal and external experts on material design and sustainable energy materials Supervision of doctoral candidates, students, and scientific staff (in
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research group “Computational Integrative Biodiversity” (CIB) combines modern computational modeling with biodiversity theory as well as geohistorical and climatological data. We investigate how biodiversity
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advanced programming skills in a high-level computer language (Python or related) hands-on experience with instrumentation development excellent oral and written English skills collaborative mindset Skills
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: 11.01.2026 For further information, please contact Prof. Dr. Till Strowig, phone 0531 6181 4700, email: till.strowig@helmholtz-hzi.de . How to apply: When sending us your application documents, please confirm
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Rehabilitation robotics Learning Systems, including Robot learning Machine learning Computer vision Intelligent control systems Candidates should have a strong international track record of creative research