17 coding-"https:"-"FEMTO-ST"-"https:"-"Gustave-Roussy-" Postdoctoral positions at Nature Careers
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to elucidate the role of multi-subunit macromolecular machineries involved in genome function and organization. In particular, we are interested in understanding at the molecular level how non -coding gene
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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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biology, or a related field Experience designing, executing, analyzing, and interpreting quantitative experiments, including high-throughput screens. Experience with coding software such as Python, R, and
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systems, automated workflows, or LLM-based development environments (e.g., OpenAI Codex, Claude Code, or similar) is a plus Proficiency in Python, Linux, and HPC environments Experience working with
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interdisciplinary research projects in collaboration with experimental labs. Being closely involved in the experimental design, data generation process, and analysis. Writing efficient, reusable, and elegant code
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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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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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-seq, ATAC-seq, spatial transcriptomics, or related approaches strong programming skills in R and/or Python experience with reproducible data analysis, workflow development, and code-based project
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, will be given preferential consideration in the event of equal suitability and qualification in accordance with the provisions of the German Social Code IX. In case of further queries regarding gender
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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