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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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in regular team meetings and contribute to data analysis discussions. Work can be completed remotely/hybrid Qualifications Enrollment in a PhD program in education, social sciences, or a related field
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/Administrative Internal Number: 527353 Pay Grade/Pay Range: Minimum: $62,300 - Midpoint: $81,000 (Salaried E10) Department/Organization: 214251 - Electrical and Computer Eng Normal Work Schedule: Monday - Friday
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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of electrical and optical quantities aimed at understanding the processes occurring in the studied low-temperature plasma Operation of high-voltage sources for plasma generation Computer data processing and
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computational models of the immune response for multi-scale epidemic models. This position offers an excellent opportunity for recent graduates interested in applying quantitative and computational methods
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induction programme will be delivered to all new appointees. Key Duties and Responsibilities Conduct and manage research and related administrative activities, with guidance as required, ensuring that project
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applications for the above post. Applicants should apply online and upload (i) a statement of professional interests and a research plan; (ii) an executive summary outlining your field of research and
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visiting scientists. Start date may be as early as 1 June, 2025. Responsibilities: Lead a nationally recognized research program focused on the basic biology of urban pests and advancement of modern