38 computational-physics "https:" "https:" "https:" "https:" "UCL" Fellowship positions at Nature Careers in United States
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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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SJCRH Position Overview: The Department of Information Services is seeking a highly skilled and motivated faculty- level Clinical Informatics Researcher to join our dynamic clinical informatics and
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pediatric psychology. The postdoctoral fellowship training program is designed to enhance skills of psychology trainees preparing for a career in a pediatric academic medical setting. As a fellow, you will
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The Omenn-Darling Bioengineering Institute at Princeton University invites applications for the ODBI2 (Omenn-Darling Bioengineering Institute Innovators) Fellows Program. ODBI2 Fellows will work
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: https://ragoninstitute.org/yu/ and https://ragoninstitute.org/lichterfeld/ Job Duties: Responsible for the design, execution, and interpretation of experiments; Interfaces with collaborators to design
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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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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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, Engineering, Physics, Medical Physics, Applied Math, Statistics, or a related field. * Formal training in Clinical Informatics, Bioinformatics, or a related field * Prior experience with AI in healthcare
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-derived organoids and assembloids, engineered ECM environments, and in vivo mouse models, working in close partnership with the lab's computational team to generate data-rich spatial multi-omics datasets
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: The Artificial Intelligence Regulatory Science Program conducts regulatory science research ensuring safe and effective AI/ML-enabled medical devices across rapidly expanding healthcare applications including