1,765 data-"https:"-"https:"-"https:"-"https:"-"Linköping-University" Fellowship positions
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to build a comprehensive understanding of ethnicity and gender pay gaps and their development over time, using HR data from a large New Zealand employer (ours), so that appropriate remedies can be identified
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: The Simons Foundation supports scholars working to advance research in basic science and mathematics. Please visit the Foundation’s website for information on the latest Fellowship competitions and focus areas
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equivalent education in climate dynamics, meteorology, oceanography, applied mathematics, physics, computer/data science or related fields or must have submitted his/her master's thesis for assessment prior
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strategies, and address AI’s ethical, cultural, legal, and societal implications in creative domains. See mishmash.no for more information. Application Deadline: 01.03.2026 Estimated starting date: 01.09.2026
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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are produced -- making the process cleaner, smarter, and more efficient. This is an opportunity to help reshape how critical materials are produced -- moving toward smarter, data-driven processes
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community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking a Level A
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 3 days ago
of novel PRO-based ER analyses of tolerability associated drug exposure related adverse events to inform standard ER analyses for safety and provide complementary tolerability data to improve dosage
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bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages
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, and in vivo mouse models, working in close partnership with the lab's computational team to generate data-rich spatial multi-omics datasets that drive discovery. As part of the Bioinnovations in Brain