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-based interatomic potentials, and active learning strategies for identifying materials with high thermoelectric efficiency (ZT figure of merit). Where to apply Website https://emploi.cnrs.fr/Candidat
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interests through elective courses and secondments. • Blended Learning Approach: Our training combines intensive in-person workshops at partner institutions with regular interactive online seminars, journal
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) approaches. Design predictive maintenance algorithms using machine learning, statistical learning, and digital twin-based models to anticipate failures and optimise maintenance interventions. Integrate AI
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to communicate the accomplished / in-process work to internal and external stakeholders and adapt directions where needed. Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/machine
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benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Agroecological Performance Assessment Research subject: Crop production science Description: Assessing how
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for a full-time, on-site PhD position in machine learning, forecasting and time series analysis. Reykjavik University, Department of Engineering. Duration: 3 years. Start date: Negotiable. Reykjavik
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Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able to teach you missing skills during your induction. Our Offer: We work on the very