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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
, conduct, and analysis of the clinical trials and the dissemination of their findings. Responsibilities and opportunities will include: Contributing to clinical trial design, protocol development
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conduct research independently and collaboratively as part of a research team, contributing to discipline knowledge through research outputs, presentations and engagement with academic and professional
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research profile while accessing highly specialised facilities and expertise. Key responsibilities: Core research responsibilities Design, conduct and analyse laboratory experiments addressing the project’s
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of their personal background. Given the project’s empirical focus on educational settings in Denmark, applicants must be sufficiently proficient in the Danish language to conduct fieldwork and actively participate in
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research, or a comparable domain. Ability to conduct high-quality academic research, reflected in demonstrable outputs. A team player who enjoys coaching PhD and Master's students and working in a dynamic
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About the department The VUA Department of Computer Science has approximately 250 members, including 50 tenured staff members and 40-50 PhD students. The tenured staff members form the basis
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medical research. Depending on the qualifications of the successful candidate, the position will be offered either as a Researcher (Master's degree) or as a Postdoctoral Researcher (PhD degree). You can
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theory. Work duties The main duties involved in a post-doctoral posistion is to conduct research. Teaching may also be included, but up to no more than 20% of working hours. The position shall include
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experimentation: 70% • Design, perform, analyze, and interpret experiments spanning neuroscience, molecular biology, immunology, genomics, imaging, and behavior. • Develop and troubleshoot new techniques and models
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and Computer Science at the University of Basel invite applications for a PhD or postdoctoral position focused on Large Language Models (LLMs), including pre-training and post-training. The successful