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Field
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genomic and clinical datasets, and in developing reproducible, scalable analytical workflows (using scripting languages such as R/Python) within high-performance or cloud computing environments. You will
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6 Dec 2025 Job Information Organisation/Company CNRS Department Institut de Chimie de Nice Research Field Chemistry » Physical chemistry Chemistry » Computational chemistry Researcher Profile
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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Research FieldEnvironmental science » Global changeYears of Research ExperienceNone Additional Information Eligibility criteria • PhD in atmospheric sciences • Knowledge of cloud physics • Experience in
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Eligibility criteria . PhD in atmospheric sciences • Knowledge of cloud physics • Experience in algorithm development and satellite remote sensing • Good written and spoken English • Ability to work
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cloud or distributed computing environments. Familiarity with self-supervised and contrastive learning techniques for aligning text and images (e.g., CLIP, SimCLR). Clinical experience, e.g., interaction
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or equivalent in Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field Special Skills, Knowledge, and Abilities: Required: Candidates must hold a doctoral degree (PhD, MD
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LevelPhD or equivalent Skills/Qualifications Requirements: PhD or MSc in a relevant field of interdisciplinary research (e.g. Bioinformatics or Computational Biology). R software development experience
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data