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perturbation prediction, including the design and implementation of novel training strategies under experimental constraints, e.g., active learning and other data-efficient approachesConduct large-scale
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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Full Time, Fixed Term for 4 Years (48 months): start date 1st October 2026 35 hours per week UHI Perth is one of Scotland’s leading Colleges of Further and Higher Education, and a large partner in
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. The researcher will take primary responsibility for (1) managing a field study of urban adaptation among New England fireflies over summer 2026 and (2) analyzing a large dataset from a field study on flying insect
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Posting Information Posting Details Department UNC Inst for the Environment - 635200 Posting Open Date 04/14/2026 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar
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2 Apr 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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7 Apr 2026 Job Information Organisation/Company ENSICAEN Department Service RH Research Field Physics » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application
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substance use and mental disorders. The Matilda Centre brings together researchers in broad fields to share skills, integrate data, and harness new technologies to develop and trial innovative prevention
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Postdoc in pharmacoepidemiology: Long-term safety and benefits of ADHD medication in children and...
. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD medication in both
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of lab ethnography. The life sciences are undergoing significant changes due to the increased use of big data, artificial intelligence and automation. With a focus on laboratory research in microbiology