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learning for software security. The position is for four years of full-time doctoral studies at the Department of Computing Science, where you will be able to work in a dynamic environment with 170 employees
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; Mentoring and coaching; Multilingualism; Multilingual policy and implementation; Teacher training and development; Pedagogy, Education policy studies; Professional learning community; Technology-enhanced
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, materials science, and physics. Supported by 19 countries, the ESRF is an equal opportunity employer and encourages diversity. Context & Job description Thesis subject: Machine Learning for Neutron
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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that give rotaxanes the ability to produce reactive oxygen species, and applications of these architectures in antibacterial photodynamic therapy. Where to apply Website https://amethis.doctorat.org/amethis
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experience in machine learning and molecular simulation ? We're looking for our future PhD student ! Join us at Université Côte d'Azur, recognized since 2016 for its scientific and educational excellence
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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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) 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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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