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Field
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likely to demonstrate expertise in quantitative methods, potential for publishing research, a collaborative/respectful approach to work, and the ability to effectively manage multiple projects to achieve
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human patient samples and cutting-edge AI-driven analyses Validate computational findings through functional laboratory experiments Develop and optimize protocols involving omics methods, immune cell
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and 2005 and utilising various methods from history, digital humanities, and cultural studies. The position is 2,5 years (30 months). The position is based at the Department of History and Classical
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of the University of Groningen in The Netherlands. The position is available within the research project "Aggregating Safety Prefer-ences for AI Systems: A Social Choice Approach." The project aims to develop formal
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health data science research analyses. As a postdoc, you will also be part of the teaching and supervision of DTU students, who in turn will also use the infrastructure. Our expectations of you As a formal
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the boundaries of cellular reprogramming by introducing scalable computational methods that streamline the discovery of reprogramming targets and control strategies. A key innovation of EdgeCR is its
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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of the University of Groningen in The Netherlands. The position is available within the research project "Aggregating Safety Prefer-ences for AI Systems: A Social Choice Approach." The project aims to develop formal
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formally conferred: in this case, the candidate may present evidence of completion of the degree requirements, together with a statement documenting the date on which the degree is to be conferred
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career path in the chosen field, this position requires a formal mentor plan and Individualized Development Plan. Positions are limited duration, funding contingent appointments that may be part-time or