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Field
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may come from a diversity of disciplinary backgrounds, including but not limited to veterinary medicine, epidemiology, ecology, biology, computer/data science, economics and other social/behavioral
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into how μ-opioid signaling shapes addiction risk. This PhD project (Work Package 4) aims to use advanced computational methods to elucidate the structural and functional consequences of the R181C mutation
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the early Sun, which was fainter (by 25-30%). Additionally, examine whether atmospheric proxy data, along with surface, ocean, and atmospheric reflectivity (albedo), lead to reasonable estimates of Earth’s
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approaches to fabrication prediction, structural and material optimisation, computer vision for process monitoring and quality assessment, and the integration of machine learning methods within design
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5 Jan 2026 Job Information Organisation/Company Politécnico de Leiria Department ESTG – School of Technology and Management – Department of Computer Engineering Research Field Engineering » Civil
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | about 1 month ago
at the Life and Health Sciences Research Institute from the School of Medicine of the University of Minho Fellowship duration: The fellowship will have an estimated duration of 3 months, starting predictably in
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manner. Strong analytical skills and academic writing skills Experience with qualitative research methods Experience with research and development related to higher education in STEM In the evaluation
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the European seismic hazard map and the new national map for Portugal. - Assess the impact of updated hazard values on damage estimates, structural safety, and economic losses. - Develop an updated seismic risk
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Computer/Information Sciences Internal Number: A-179059-11 General Description The Johns Hopkins University Data Science and AI (DSAI) Institute welcomes applications for its Postdoctoral Fellowship program
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-level constraints of distribution networks with DERs, and applications of stochastic programming/approximate dynamic programming approach. Implementation of distribution power-flow methods for DER-rich