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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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adjuvants), Computer Science and Technology (Artificial intelligence, biological computing, etc.) The Tenure Track System Education: A PhD or MD degree from a prestigious, accredited institution in a Health
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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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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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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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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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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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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