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interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis are an asset Excellent command of written
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mathematics). You must have solid programming skills and documented experience implementing algorithms and running reproducible experiments in Python and/or MATLAB. PLEASE NOTE: For detailed information about
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programming skills and expertise, e.g., Python, Julia, C/C++ Willingness to work independently and contribute to lidar soundings duringnights/weekends in accordance with applicable working laws. Communication
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. Basic proficiency in programming or scripting (e.g., Python, MATLAB, or similar) for data processing or device control. 4. Ability to set up, calibrate, and troubleshoot sensor systems (e.g., IMUs
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the interdisciplinary lab to bridge environmental concerns and creative design processes. • Investigate the creative process at the intersection of LCA, AI, and early design phases. • Merge Python-based approaches
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. Desirable Skills (an advantage, not a requirement) Data analysis skills in python. An interest in energy policy / the economics of energy. Numerical modelling. Eligibility This studentship is available for UK
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/teaching experience. The confidence to deal with uncertainty and tackle any problem without a defined final answer. Desirable Skills (an advantage, not a requirement) Data analysis skills in python. Granular
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learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. Emission control rules and regulations in the shipping industry
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functional dark matter, offering an unprecedented view of the molecular tricks used by the microbial world. The ERC MicroMet team, led by Dr. Tristan Wagner (https://www.ibs.fr/en/research/assembly-dynamics
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functional dark matter, offering an unprecedented view of the molecular tricks used by the microbial world. The ERC MicroMet team, led by Dr. Tristan Wagner (https://www.ibs.fr/en/research/assembly-dynamics