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biophysics and machine learning for the accurate prediction and design of functional enzymes; and explore their real-world applications. Job Requirements Ph.D. in a relevant area, e.g., Chemical Engineering
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12th October 2026 Languages English English Norsk Nynorsk English Postdoctoral Research Fellow position within Physics-Informed Machine Learning for Offshore Wind Apply for this job See
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Assistant Professor (Research) G7 - Research Fellow in Hydrogen Innovation ( Job Number: 26001184) Department of Engineering Grade 7/8: - £41,064 Fixed Term - Full Time Contracted Hours per Week
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The Department of Engineering at Durham University seeks to appoint an Assistant Professor (Research) - Research Fellow in Hydrogen Innovation and would welcome applications from those with
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for Science, and scientific discovery by advancing our understanding of interpretable machine learning models and their practical applications in real-world domains such as healthcare and science. Key
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complete application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant
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researching, designing, and testing of microwave circuits and antennas for phased arrays. Additionally, direct interaction with suppliers is part of the job, as well as preparing manuscripts for journals and
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fellow to join the multidisciplinary research team of Dr. Akhilesh Pandey at Mayo Clinic, Rochester, working at the intersection of digital pathology, artificial intelligence (AI), and machine learning
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the application of machine learning/artificial intelligence (ML/AI) in environmental health. This project aligns with ATSDR's current strategic initiatives and will provide you with opportunities
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We are looking for a Research Fellow for the (SHINE) Centre 2.0 co-led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS