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Field
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committed candidates from varied backgrounds who are eager to contribute to cutting-edge and interdisciplinary research. Successful applicants will ideally have: A relevant MSc degree in computer science
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ESM Item Repository (https://esmitemrepositoryinfo.com ). Building on ongoing methodological and meta-science work in the CCP and CMPO, this project will develop and psychometrically validate gold
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of Tundra streams. Qualifications: Applicants should hold an MSc in aquatic ecology, ecology or equivalent. Strong skills in statistical analysis and experience working extended periods in the field would be
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training support (€2,500 per year). Eligibility Criteria Essential • BA or MA/MSc in relevant discipline/s for the call (e.g., sociology, population sciences, psychology, computational social sciences; HCI
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Technologies de l'Information et de la Communication Field: Telecommunications / Machine Learning / Statistical Signal Processing. Research Lab: L2S (Laboratoire des Signaux et Systèmes) Advisor: Antoine BERTHET
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as evidence of ongoing CIN. This PhD will work at the leading edge of single-cell transcriptomics and modern statistical/AI methodology to address this gap using in-house developed cell atlases. We
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position requires a solid foundation in food technology. Required Academic qualifications MSc degree in food technology, food engineering, food science, chemical engineering, or related areas Experience
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applied statistical models, and will be part of a growing conservation technology hub at the department. The Department of Wildlife, Fish, and Environmental Studies offers a creative, stimulating, and
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-source releases and publications Who we’re looking for Required MSc (or equivalent) in molecular biology, bioinformatics, computational biology, statistics, computer science, or similar Solid programming
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at scientific conferences and by writing scientific articles and a PhD thesis; attending PhD courses as part of the graduate education program. Where to apply Website https://www.academictransfer.com/en/jobs