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Field
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research program by performing physics analysis, and in addition, by contributing to the maintenance, operation, performance improvement, and upgrade of one of the sub-detector systems. Qualification
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, computational analysis Interest in getting trained in molecular and cellular biophysics, bionanotechnology, cell and tissue biology, high end optical microscopy, phenotyping, multiplexing Interest in
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the supervision of the PI, including proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. Pursue research topics
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Institute for Optoelectronic
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fluid mechanics and turbulent flows, high-performance computing, machine learning methods in computational problems. GSSI is a world-renowned research institute and school of advanced studies
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flagship (https://fcai.fi ) and the ELLIS Institute Finland (https://www.ellisinstitute.fi ), part of the pan-European AI network of excellence (https://ellis.eu/members ). Significant high-performance
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Diagnostics and intervention is offering a
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
. Description: Sensor systems based on high performance infrared (IR) detectors have made significant contributions to NASA’s Earth Science (e.g., observables related to Surface, Biology, and Geology) and
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533551 Work type: Full-time Department: Faculty
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for soft materials, with particular emphasis on thermo–visco–hyperelastic behavior, integrating continuum mechanics, scientific machine learning (SciML), and computational physics. The project aims