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Group. The position is offered within the scope of European Regional Development Fund project TARGETWISE. The candidate will be responsible for developing and implementing algorithms to analyse OMICS data
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indicate your availability in your cover letter. Successful candidates are expected to have a strong teaching record and a competitive research profile. We prefer candidates with a completed PhD, but are
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student-friendly Maintain consistency and style across large sets of educational material 👩🔬 About You A background in Biology, Biomedical Sciences, or related field (BSc required; PhD or MSc a plus
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leading researchers from around the world, with Kyoto being a major hub for international scientific meetings. Eligibility. - A PhD or MD-PhD in any STEM discipline (candidates with undergraduate and
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
members and more than 570 Master's and PhD students. More than 2500 graduates are playing active roles in industry and academia. We Are Recruiting in Three Core Disciplines: Integrated Circuit Science and
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world to join us as either graduate students (MS/PhD) or postdoctoral researchers. Who we are looking for: Graduate Students (MS/PhD): Highly motivated individuals with backgrounds in Optics and Applied Physics
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Criteria: A completed PhD (or very close to completion for Lecturer) in Finance/Financial Analytics or cognate disciplines. An established programme of research activity and dissemination of original, high
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. Candidates must have: A PhD with a strong component in machine learning and deep learning (or a PhD defense planned for 2025), Research contribution in deep learning and application domains such as computer
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participate in institution building. Required and preferred qualifications: Applicants should have a PhD and post-doctoral experience in a relevant discipline from a globally recognised University. Benefits
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internationally renowned for excellence and societal imp act. About the person: Essential criteria: A completed PhD (or very close to completion for Lecturer) in Information Systems/Digital Business/Technology