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Field
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digital worlds. Its teams explore, design, and develop models and methodsboth physical and algorithmic—as well as new technologies that bridge the real world (matter and living systems), digital data, and
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nanoparticles in preclinical models (in vitro/ex vivo/in vivo), prospective multicenter clinical cohort for multimodal and longitudinal phenotyping. ✅ PhD in cell/molecular biology, life sciences, medicine or a
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. Opportunities to collaborate with leading experts in molecular computing and DNA-based technologies, in France and Japan. Relevant publications: https://blog.espci.fr/guillaumegines/publications/ The successful
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practically applied either as a full replacement of standard DNS or as a reduced-order model reproducing the main features of turbulent flows (energy spectra, scale-by-scale energy transfers, intermittency
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: 25 months, part-time (50%) Location : Université de Caen Normandie, France Main host organisation : NIMH Unit, Inserm-EPHE- Université de Caen NormandieU1077 (https://nimh.unicaen.fr/fr/accueil
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. Application files must be sent to Mr Marc LAMY DE LA CHAPELLE at the following email address : [email protected] or by clicking on this link . Where to apply Website https://emploi.univ
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additional years Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8079-TATGIR-024/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research
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models to guide safer and more effective, individualized steroid use. As such, the candidate will be responsible for data harmonization, multi-omics integration as well as the development of machine
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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sustainable social, economic and ecological models. The organisation you will be joining The UMR PALOC (Local Heritage, Environment and Globalisation – https://www.paloc.fr ) is a joint research unit under the