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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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(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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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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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
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laboratory experimental experience. · You have programming experience, knowledge of Python and Git is a plus. · You have a proven ability to write high-quality scientific papers. Language
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simulators. Proficiency in Python, including data handling (pandas, NumPy), visualization (matplotlib) and integration within simulation workflows. Understanding of sector coupling (e.g. P2G, P2H), energy
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experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and deployment
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.). Strong programming skills in Python, C/C++, and experience with data-centric control and monitoring architectures. Knowledge on standard communication protocols for smart grid interoperability, such as IEC