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optimization or related inverse design techniques. While this position does not involve developing AI models, it requires close collaboration with AI researchers to ensure data is appropriately structured for AI
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. amino acid and lipid metabolism), signaling pathways (e.g. mTOR and nutrient signaling), and systems-level regulatory networks that regulate basic T cell and dendritic cell biology and antitumor immunity
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accelerators for science. Currently, the new FAIR (Facility for Antiproton and Ion Research) one of the world's largest research projects, is being built in international cooperation. GSI and FAIR offer
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Genomic Medicine Initiative to provide reference data on genomic diversity and allele frequencies in the general population of France. For this project, individuals from the Constances project were selected
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, physics, mathematics, computer science, or related fields Demonstrated hands-on experience with machine learning techniques Strong programming skills (Python preferred) Experience analyzing time-series data
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interactions Integrate omics approaches with microphysiological modeling Interpret data, write manuscripts, and present findings at conferences and seminars Collaborate across disciplines with engineers
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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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systems and techniques including novel mouse models of metastasis, patient-derived samples, in vitro co-culture systems, molecular biology, multi-omics, and advanced microscopy approaches. The Labelle lab
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well as collaboration with clinicians for human tissue studies. Profile Essential You have an international PhD in physiology, neuroscience, biomedical sciences, or related fields. You are an expert in molecular biology
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities