65 coding-"https:"-"FEMTO-ST"-"CSIC"-"P"-"UCL"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be contributing to the BESSER
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to therapeutic discovery You bring PhD in computational biology, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s
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pipelines for EHR data curation and extraction (structured codes, labs, medications, etc.), including the handling of missing data and irregular sampling. Developing methods for synthetic patient alignment
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and implementation aimed at strengthening the overall security posture of the center. You will assess the application security posture, offering guidance on integrating secure coding practices
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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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of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference code: 980 - 2026/WD 1
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to identify coding and regulatory risk factors for early-onset, aggressive, and/or hereditary cancers The successful candidate will lead projects from conceptualization through publication, including
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Systems with a focus on Enzyme engineering (Reference code 37) Working time: 40 hours per week Term of the employment relationship: 1st of October 2026, limited to a period of 6 years Allocation in
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sequencing etc.) Expertise in at least one lineage of land plants (i.e., a taxonomic focus) Experience with at least one coding language or a strong background in statistics Experience with high-performance