22 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" research jobs at Nature Careers
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) 13 TV-L FU reference code: ONEMuc-FluBind2 The collaborative project ONEMUC – Respiratory Mucus as a One Health Interface investigates how the composition and structure of mucosal barriers (mucus
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) 13 TV-L FU reference code: ONEMuc_FluBind The collaborative project ONEMUC – Respiratory Mucus as a One Health Interface investigates how the composition and structure of mucosal barriers (mucus
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TV-L FU reference code: 637 Who We Are The position is assigned to the workgroup Kuch, which has experience investigating ultrathin magnetic films, surfaces, nanostructures, and adsorbed molecules
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The Department of Biotechnology and Food Science, Institute of Food Technology is currently seeking a Postdoctoral Research Associate (Reference code 14) Extent of employment: 40 hours per week
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., pyTorch, TensorFlow) Proven publication record in relevant fields Familiarity with high-performance computing environments Familiarity with using and adapting open-source AI models and code repositories
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visualization; applicants are encouraged to include links to relevant code or repositories in their CV experience working with multimodal or data‑driven research workflows and translating quantitative outputs
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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning
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mission to improve lives. Our Speak-Up policy is an important part of our Code of Conduct. Only in this way we can continuously develop and improve as a company. Our core values of empathy, respect, passion
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on ARSPECTRA hardware in collaboration with their engineering team Contribute to open-source code, demonstrators and joint publications with ARSPECTRA and clinical partners Your profile PhD in computational
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integrating biological data sources (clinical event sequences, genomic sequences, disease codes) into unified patient representations and state sequences for predicting disease progression and outcomes