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Skip to main content Research Scientist in Machine Learning for Wearables Job id: 154785. Salary: £45,031 - £52,514 per annum, including London Weighting Allowance. Posted: 07 August 2026. Closing
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Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including temporal data
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Machine Learning Methods for the Prediction and Correlation of Thermophysical Properties
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Scientific machine learning methods for trustable accelerated materials characterization and
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden-Württemberg | Germany | 2 months ago
Software Developer / Computer Scientist (m/f/d) specialised in AI and Machine Learning EDV & Informatics Heidelberg Astronomy & Astrophysics Job Code: 421 Job Offer from August 01, 2026 The Max
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feeds Post-doctorat - Interaction spin-réseau par simulations ab initio et Machine Learning - H/F 195 / 667 vacancy Détail de l'offre Description du poste Domaine Matériaux, physique du solide Contrat
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Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians The ELPH-ML project, led by Dr
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, clinical measurements, medical imaging and longitudinal health data provides opportunities for Artificial Intelligence (AI) and Machine Learning (ML) to improve cardiovascular risk assessment and prediction
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, clinical measurements, medical imaging and longitudinal health data provides opportunities for Artificial Intelligence (AI) and Machine Learning (ML) to improve cardiovascular risk assessment and prediction
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 19 hours ago
, 2026 Description This is a unified application form for all positions in the Optimization and Machine Learning Lab at KAUST led by Prof Peter Richtarik, including Research Intern MS/PhD Student PhD