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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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and determination? We are currently seeking a/an PhD in AI-assisted proteomic data analysis applied to Human Health 50 Faculty of Life Sciences Job vacancy starting: 01.09.2025 (MM-DD-YYYY) | Working
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
the Department of Mathematics and Statistics, with an appointment beginning August 4, 2025. The successful candidate will work directly with Professor Sheree Sharpe in the area of K-12 algebra education and meta
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cooperative, competitive, and mixed settings. Collaborative decision-making frameworks and decentralized learning algorithms. Adaptive, meta-learning, and context-aware strategies to enhance policy
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the Outpatient Unit for Research, Teaching and Practice. Currently, nearly 3,500 students of Psychology are enrolled in Bachelor's, Master's and PhD programmes, attending nearly 200 courses per semester, which
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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
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successful in this role you will have: A Masters or PhD in a related discipline, and relevant experience in the fields of systematic reviews and meta-analyses, especially in the fields of PTSD and grief
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their research through investigations at national, regional, or local scales - preferably in the vulnerable regions such as the Global South. Specifically, synthesis approaches such as meta-analytic tools
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also expected to demonstrate the ability to ground their research in national, regional, or local contexts. Strong emphasis will be placed on synthesis approaches, such as meta-analytic techniques and
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synthesis science, including meta-analytic approaches, to develop holistic and actionable insights. We are seeking a scholar with a proven interdisciplinary track record, demonstrating strong collaboration