1,749 computing-"https:"-"https:"-"https:"-"OsloMet---storbyuniversitetet" Postdoctoral positions
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. Your competences You have academic qualifications at PhD level. Candidates can have a background in a (bio)medical discipline (incl. medicine or dentistry), medical physics, computer/data science
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] Subject Area: Applied and computional mathematics Appl Deadline: (posted 2025/11/09 05:00 AM UnitedKingdomTime, listed until 2026/05/10 04:59 AM UnitedKingdomTime) Position Description: Apply Position
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program at SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance
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physiological experiments to elucidate factors critical for nutrient transport and successful feeding. -Collection of data and keeping of detailed records of results, as well as utilizing computer programs and
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in English (both verbal and written) and computer skills required. DEPARTMENT SPECIFIC FUNCTIONS: Design and execute independent research projects related to cardiac biology, heart failure, and
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, United States of America [map ] Subject Areas: Engineering / Computational Science and Engineering , Machine Learning , Quantum Science and Engineering Appl Deadline: (posted 2026/03/05 05:00 AM UnitedKingdomTime, listed
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Inflammation.” This program aims to train postdoctoral scientists for collaborative research careers in two inter-related topics: thrombosis and inflammation. There is increasing evidence of a direct
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 9 days ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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(or near completion) in a relevant discipline (e.g., data science, computer science, engineering, statistics, or a related field) or equivalent research experience. You will have demonstrable expertise