11,073 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" research jobs
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the leadership of Principal Investigator Dr Andrew Siemion. Listen's interdisciplinary research has synergies with many of the department's research priorities, including exoplanet studies, machine learning
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will work in a collaborative and innovative environment, alongside researchers and industrial partners. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/IRL2010-CEDBUC-002/Default.aspx
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across Asia The University only accepts online application for the above post. Applicants should apply online at the University’s careers site (https://jobs.hku.hk ) and upload an up-to-date C.V., and
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learning, discovery and personal growth. The University is accredited by the Southern Association of Colleges and Schools and has earned special accreditation from professional and academic associations
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information on GuardIAS may be found in: https://www.reabic.net/journals/mbi/2024/4/MBI_2024_Katsanevakis_etal.pdf and http://www.reabic.net/journals/mbi/2024/Supplements
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recreation, sports activities or culture; company catering at a reduced price; vitamin supplements, free drinking water/fluids; sports and cultural teambuilding events. Website: https://www.ibp.cz/cs/ Expected
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) or deploying humanistic methods in Science and Technology Studies, Gender Studies, Media Studies, or related fields are encouraged to apply. The successful candidate will teach one course per year in STS
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statistic methods and computer programs for analysis of quantitative or qualitative data (e. g. SPSS, R, AMOS, MAXQDA) and profound knowledge of computerized literature search Didactic competence Excellent
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indices of geomagnetic activity (Kp, Hpo). This project aims to update the partly outdated computer programmes used for data control and processing at the GFZ’s geomagnetic observatories, and, where
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model