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Field
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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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-source artificial intelligence, machine learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. In the assessment
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upcoming SPHEREx data. The candidate will perform all levels of data analysis, from the processing of raw data to maps to power spectrum estimation of resulting CIB maps. The candidate will also have the
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 3 months 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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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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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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Number U250093 Posting Link https://www.ubjobs.buffalo.edu/postings/59894 Employer University Affiliates Appointment Term Position Type Posting Detail Information Position Summary This is a NIH, NLM T15
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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