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are not fully integrated into the exploration of subsurface exploration workflows due to data resolution limitations and challenges in modeling. This knowledge gap limits our understanding of resource
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be highly motivated and autonomous, and have a solid knowledge of materials science. Knowledge of electrochemistry and fuel cell/water electrolysis technology will be a key asset. Proficiency in French
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theory - Experience in scientific writing (articles, reports) - Very good communication skills (written and oral) in French and English Useful skills: - Knowledge of biological invasions
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programming. • Proven experience in deep learning (PyTorch or TensorFlow). • Previous experience with high-dimensional biological data and knowledge in (epi)genomics will be appreciated. • The ability to work
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FieldBiological sciencesYears of Research Experience1 - 4 Research FieldPharmacological sciencesYears of Research Experience1 - 4 Additional Information Eligibility criteria General knowledge : - Advanced knowledge
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Eligibility criteria - Knowledge: Hold a recent Ph.D. in molecular and cellular biology of melanoma with solid knowledge of transcription factors and immuno-oncology, and publications in at least one of these
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writing and presenting scientific results at group meetings and seminars - Ability to work flexibly and independently - Strong motivation for scientific research - In-depth knowledge of optical and electron
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criteria The candidate must have some experience and a strong knowledge of artificial intelligence (AI) applications of the following fields: nonlinear analysis (gradient flows of probability distributions
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or equivalent LanguagesFRENCHLevelBasic Research FieldChemistryYears of Research ExperienceNone Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria Knowledge
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European human rights law and fundamental rights with significant knowledge of judicial strategies applied by NGOs will be highly appreciated. Previous participation in an ERC project is an asset. Autonomy