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needs. Project background We are excited to announce an interdisciplinary PhD opportunity focused on mechanochemical processes driving radical formation and redox cycling in the deep subsurface, with
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, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object
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Theory Organizational Behavior Ability and interest to teach in undergraduate and master's programs in English are essential. Applicants need to have completed their PhD (or be very near completion when
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Desirable: B1 A specialism in HR analytics or deep learning. Skills Essential: C1 Ability to communicate material of a specialist or highly technical nature and to be effective both orally and in writing at a
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(e.g. deep learning, language models and responsible AI). Minimum Qualifications PhD or other doctoral degree in biostatistics, statistics or strongly related field. Record of high-quality scientific
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UiO/Anders Lien 8th March 2026 Languages English English English PhD Research Fellow in Machine Learning and Statistics Apply for this job See advertisement About the position Integreat
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
pipeline, building on existing deep learning models in meteorology and climate science Your Profile PhD in computational science, mathematics, physics, or a related subject Experience with machine-learning
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the measurement instrument in close collaboration with our industrial partner, Veridis Technologies. An ideal candidate has experience in vibrational spectroscopy and spectral processing. Expertise in deep learning
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About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems
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) Deep Learning AI. https://www.deeplearning.ai/ (opens in new window) CourseRA Gen AI https://www.coursera.org/ (opens in new window) McKinney, S.M. et al., “International evaluation of an AI system