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, we are looking for a postdoc with experimental experience in the field of plasma-accelerator and/or plasma-lens research. The specific work involves the development and experimental demonstration
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to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics
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, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses
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, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions
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designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5
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Science and Nanotechnology (SMN), Faculty of Mathematics and Natural Sciences, University of Oslo (UiO), within the Centre for Defects in Semiconductors for Quantum Sensing (DSQS). DSQS is one of four
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, software, and potentially hardware and explores them in artistic contexts. This postdoc position will be part of WP1 of MishMash. The appointed candidate is expected to collaborate across the MishMash
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Department of Informatics at Blindern, Oslo. Project description We are looking for excellent and motivated candidates with expertise in Logics for Multi-agent Systems. The postdoc will join the Data and
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of Geosciences, Faculty of Mathematics and Natural Sciences, University of Oslo (UiO). Starting date no later than October 1, 2026. The appointment is a fulltime position and is for a period of three years (10
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programming (e.g., Python) Documented proficiency in deep learning frameworks (e.g., PyTorch) Documented background in machine learning, mathematics, linear algebra, and statistics Fluent oral and written