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effects in pediatric cancer. Collaborate with other researchers to better understand the complex interactions between health determinants and disease outcomes. Extract and analyze large datasets
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of Physics Position Overview Development and production of large-scale, custom-designed digital signal processing readout systems for the ATLAS Liquid Argon Calorimeter Upgrade at CERN. Creating and
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, submit the required application materials, or find out more information, please contact Dr. Brian Kim (kimjb at stanford edu). The position will remain open until filled. Does this position pay above the
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. You will join our large team of about 30 researchers that focuses on the molecular aspects of infection of corona-, influenza- and picornaviruses. We offer a challenging position in a dynamic and
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within the Department of Radiology. The candidate will have the opportunity to work on “big data” studies in health and diseases, including schizophrenia, psychosis, and Alzheimer’s disease. We collaborate
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degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language processing (NLP), and fine-tuning techniques
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search pipelines, analysis of large quantities of data, transient classification, detailed studies of newly discovered, interesting transients, and publication of scientific results. Penn State is home to
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international users in water and food systems. Job Description: Over the past few years, advances in computational power and the increasing availability of large volumes of remote sensing data with finer spatial
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experiments Documented expertise in data analysis using scripting (ideally python-based) Experience carrying out SAXS/WAXS experiments at large scale facilities Working experience with soft matter and/or
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observations from the Kepler and TESS satellites, complemented by Gaia data and ground-based spectroscopic and spectropolarimetric observations. See more information here: https://www.space.dtu.dk/english