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skills Knowledge of programming, either Python or MATLAB is considered mandatory, knowledge of Java is considered an asset Solid knowledge of transportation modelling, proved with indexed publications
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programming languages such as Python, Pytorch, HyperSim. Background in AI techniques and tools Excellent communication skills and the ability to work effectively in a multidisciplinary and collaborative
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metabolism and 13C isotope‑assisted metabolomics; RNA‑seq experience is an advantage Ability to formulate and implement ODE models for biological systems and to analyse data in Python/MATLAB/R; familiarity
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technologies is considered a strong asset Proven software engineering and coding skills (e.g., C/C++, Python, Java, Go, Rust) A proactive attitude toward bridging research and practical implementation Sound
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Technologies Model-driven Engineering Proficiency in Python Proficiency or experience in Microsoft's AI and Power Platforms will be considered an asset Experience with information extraction from financial
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function virtualization (NFV) Proven software engineering and coding skills (e.g., C/C++, Python, Java, Go, Rust) Basic understanding of quantum communication technologies, including prepare and measure, and
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of Biochemistry, Molecular/Cell Biology, and/or BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset
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(Signal/channel generation, simulation environments, semantic compression, etc.), Semantic-aware Models and Explainable AI Proficiency in Python and machine learning frameworks such as PyTorch Hand-on
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mass and heat transfer physics would be ideal, but is not required; You have laboratory experimental experience; You have programming experience, knowledge of Python and Git is a plus; You have a proven
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data (e.g., Ethereum, Solana, Bitcoin, DeFi protocols) Strong programming skills in at least one relevant language (e.g., Python, R, Rust, JavaScript) Familiarity with smart contract interaction (e.g