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teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Saint Point, Bourgogne | France | 18 days ago
health data (no wet lab) Skills/Qualifications: All applicants must have a doctoral degree (e.g. PhD, PharmD-PhD, MD-PhD, or DVM) and a solid record of research accomplishments (grants as PI, publications
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for PhD students and postdocs. Learn more at: https://www.muoniverse.ch/ Who we are looking for Muoniverse positions often serve as bridges between individual research groups and institutions, supported
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Leipzig, Sachsen | Germany | 22 days ago
tasks # Conducting experiments on reactive transport in porous materials # Tomographic analysis of pore networks and flow fields in porous materials # Evaluation of large tomographic data sets as input
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Additional Information Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UAR636-ALERUB-036/Default.aspx Work Location(s) Number of offers available1Company/InstituteInstitut Pierre
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the Faculty of Arts PhD training programme, see https://www.arts.kuleuven.be/english/research/becoming-researcher/phd/steps . The Faculty of Arts is a large vibrant research community of PhD students and
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techniques using R, demonstrating strong proficiency in data analysis and reproducible workflows manage large health research datasets and data access applications provide statistical advice and mentoring
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the biological sciences. We have an outstanding international reputation and a community of over 500 staff and more than 300 PhD students engaged in cutting-edge research and collaboration. Further information can
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-related traits, and heterosis. In the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a
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Project summary: Project examines whether Large Language Models (LLMs) embed systematic political ideologies that influence their financial judgements. Extends a novel auditing framework to measure