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qualification you must hold a PhD degree (or equivalent). Specifically, a PhD in manufacturing engineering (or equivalent) with documented experience in the following areas: Precision machining Machining system
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into this environment are invited to apply. Experience in quantum nanophotonics, quantum photonic devices, nanoscience, nanotechnology, and quantum dots is welcomed. Learn more about the project here: nikaakopian.org
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experiments, and parametric investigations. The modelling component will be based, as much as possible, on semi-analytical thermo-mechanical formulations. This is to facilitate calculation accuracy, numerical
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variety of building stock are unknown. The required selection criteria include: Knowledge of building physics and HVAC system Experience in advanced controls (e.g., RL, MPC) Programming knowledge (e.g
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in planning and executing computational and experimental research incl. studies on user experience, usability, and net promoter scoring Effective communication and teamwork abilities, with a commitment
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variety of building stock are unknown. The required selection criteria include: Knowledge of building physics and HVAC system Experience in advanced controls (e.g., RL, MPC) Programming knowledge (e.g
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related field Documented metagenomics experience Experience with writing and running data analysis scripts in a command-line interface Solid programming experience in Python Experience with scripting and
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degree. Specialization should be in Materials Science and engineering or chemistry or related subjects such as corrosion science and engineering. Masters in electronics engineering with prior experience
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activities, i.e., teaching and supervision of BSc and MSc student projects at DTU. We are looking for candidates with Strong skills in AI, Machine Learning, and/or Data Science, preferably with experience in
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background in Intelligence, Security, or a similar degree with an academic level equivalent to a two-year master's degree and with an interest (and ideally some experience) in Agent-based Modelling, Simulation