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Field
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of mental health care by leading advanced methodological and statistical work to develop a novel digital intervention for the treatment of negative symptoms of psychosis—one of the most challenging areas
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related to learning engineering and AI in education, working with a team of postdoctoral researchers, PhD students, and Master’s/undergraduate researchers across multiple universities and organizations
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to be developed: Analyze iEEG data. Develop multimodal algorithms. Perform the characterization of the epileptogenic network. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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pay determined by experience level at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in statistics, data science, business analytics, sports analytics, operations research, computer science, or a
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the postdoctoral scholar’s time will be devoted to managing the day-to-day activities of undergraduate and graduate research students in the laboratory. Minimum Education/Experience PhD (or equivalent), English
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Scientific area/research field: Educational Sciences Researcher profile: Recognised Researcher (R2) Admission requirements: Advanced knowledge and skills in data analysis and statistical analysis; Advanced
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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related
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monitoring, including preparation of manuscripts for peer-reviewed publication and presentation of findings to relevant audiences. Develop and validate molecular tools and workflows that support seafood
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associated with global warming. Combining expertise in physiology, pharmacology, photobiology, psychology, behavioral science, and AI, the project aims to develop an improved framework for identifying