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experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants
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, materials, virology, computational biology, science communication, community engagement, and ethics. Candidates should demonstrate all relevant qualifications (see required and preferred qualifications below
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/Artificial Intelligence. The UW Mechanical Engineering Department has achieved international prominence in the use of Machine Learning and Artificial Intelligence in the modeling and control of physical
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff; multiple courses on topics such as time management, handling stress and an
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Master’s / PhD degree in Engineering or Sciences or a related field At least 5 years’ experience with a strong research track record in fields of relevance to ERI@N (Artificial Intelligence as applied
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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support for the successful operation of the Burnett School of Biomedical Sciences (BSBS) Graduate Programs (PhD Biomedical Sciences, MD/PhD Biomedical Science Track, MS Biotechnology, MS Biomedical Sciences