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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning
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The Gaia Postdoctoral Fellowship Programme, funded by the EU under the Marie Sklodowska-Curie Actions (MSCA), offers 6 additional positions across to the already 9 existing fellowships, in
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Support Program, 2 talents with the National Outstanding Youth Fund as well as more than 30 winners of various national, provincial and ministerial talent projects. With advanced technology and equipment
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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computational modeling, in vivo biological assays, and radiation physics and engineering approaches to define the mechanisms and optimal radiation dosimetric parameters by which FLASH-RT mitigates radiation
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healthcare data. * A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements * B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning
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experience in using interdisciplinary approaches in their research program. Excellent written and oral communication skills. To see the complete job description click here . To see more about team/Group Leader
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Bioinformatics Core and Office of AI Research, with opportunities for all fellows to develop their own computational skills). Experimental validation – evaluating RNA drug candidates using cell-based assays
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collaborative research environment that brings together computational scientists, clinicians, and biomedical researchers to address pressing challenges in precision medicine and biomedical data science. QBRC is a
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advancing understanding and treatment of pediatric cancer. Dr. Brian Crompton’s lab is an interdisciplinary team with both computational and wet bench scientists that utilize omics (e.g. genomic, epigenomic