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BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset Team player Proficient knowledge in English is
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required (e.g., Python, Mathematica, Matlab). Some knowledge of nonequilibrium statistical mechanics (Boltzmann and Vlasov equations) and magnetism (spin dynamics, Landau-Lifshitz-Gilbert equation) is
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must have skills in sequence data analysis using bioinformatics (e.g., using Python, R or any suited programing language). These skills must be attested by the contribution to at least one publication in
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contribute to the development of a proof of concept obtained at University Côte d’Azur for accessing the content of a metabolomics knowledge graph (KG) with a large language model. It is Python prototype of a
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
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and programming skills (Python preferred). Excellent written and verbal communication in English. Passion for exploring the frontiers of condensed matter physics. What We Offer · Pioneering
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outsourcers. Data analysis basics (with Python or MatLab) is also demanded. General knowledge about embedded software programming may be required (but not compulsory).
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++, Python or Java is desirable Excellent verbal and written communication skills. The working language of the laboratory is English. Experience in communicating research findings to a non-specialist audience
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/ NiFi/ Knime, Programming in Python and SQL. Experience with version control systems (Git, CI/CD); Java/Scala is a plus. Familiarity with containerisation and orchestration like Docker and Kubernetes
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skills in C/C++ and Python Relevant experience in deep reinforcement learning A proactive attitude towards achieving research excellence Demonstrated commitment, teamwork abilities, and critical thinking