1,365 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at Nature Careers
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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to investigate the uterine endometrium and maternal-fetal interface, with the goal of improving female and fetal health. More information about the lab and their work can be found by visiting https
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other applications of microfabricated circuits, transducers and systems. The group [https://www.nist.gov/pml/microsystems-and-nanotechnology-division/photonics-and-optomechanics-group ] offers a highly
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MSCA Postdoctoral Fellowships @Sorbonne Université and its Alliance partners - Call for Applications
integrity, recruitment, working conditions, and training. How to apply 1. Select a Supervisor in a given Host Institution from the list of Panels advertised on Sorbonne Université's website: https
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tools like ViennaRNA and NUPACK) and MD simulations (e.g., with GROMACS). Strong skills in statistical data analysis and machine learning in Python and R are expected, along with experience working in
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2021; Khoshkhoo et al. JAMA Neurology 2023; Farrell et al. Nature 2024; Bizzotto et al. PNAS 2025; Khoshkhoo et al. bioRxiv 2026. For more information, please check our websites at https
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to Dr. Divij Verma at Divij.verma@einsteinmed.edu Closing Applications will be accepted on a rolling basis until the position is filled. For more information about our work, visit https
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opportunities including support towards role-related qualifications. Further information about the benefits available can be found at http://www.discover.ukri.org/benefits-of-working-at-ukri. The LMB is a world
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gases, radionuclides, or air pollutants. Our future research strategy also includes studies of the higher atmosphere. To learn more about our team, we invite you to visit our website: https
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Job Description Join the Zhou lab ProteinPaint team (https://proteinpaint.stjude.org/team/) to contribute to the development of an open-source platform for biomedical data visualization, analysis