39 engineering-computation-"https:" "https:" "https:" "https:" "https:" "UCL" Fellowship positions at Nature Careers in United States
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that combines molecular biology, computational biology, structural biology and chemistry with various ‘Omics’ techniques such as proteomics to study the pathways and protein complexes involved in the regulation
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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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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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: 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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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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-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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building the foundations of the next wave of innovation in pathology. We are seeking candidates that could be successful in many environments, including top-tier academic laboratories and leading technology
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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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, 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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: 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