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) student position for the fellow to lead and supervise, combining independent research with genuine leadership experience. A structured opportunity to build the track record needed for a future, tenure-track
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Interest in lab-automation and working with agentic AI (e.g. Claude Code, Codex) Excellent communication skills in English Strong academic track-record and publication history The ability to collaborate in a
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. • Excellent Python programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research codebases. A strong track record in machine learning or closely
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(MILP) A strong track record of relevant publications Excellent English skills Ideally, the candidate also: Has worked with CCUS and industrial processes Has programming experience in Python and Pyomo Our
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results-oriented team player. Ideal profile includes following competencies and experience: Strong programming skills, deep statistical knowledge and a proven track record with machine learning Solid
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global concern because of their detrimental effects on the environment, ecosystems, and human health. This highlights an urgent need to track their footprints in the atmosphere which plays a key role in
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enhance your academic track record. Your responsibilities will include: Help coordinate project activities and develop synergies within the team and between project partners. Supervise intern students