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tasks: The post has two components, a research component and a teaching component. In terms of research, you will be expected to: • Develop and implement a coherent and original programme of high-quality
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related robustness issues. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Specialization should be in
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approaches, including principal component analysis and machine learning, to handle multivariate datasets. Prior experience in data science is not essential; the successful candidate will be supported through
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Cell Biol 23, 125-140 (2022)). While initially considered a backup pathway, recent studies suggest that TMEJ is a primary repair pathway in specific contexts, including replication stress, DNA damage in
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identifying relevant treatments and their associated Health Resource Group (HRG) codes to link hospital care provided with NHS Reference Costs, as well as linking any primary care activity with Unit Costs of
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international equivalent), or a Master's degree in a related science field ((ecology, environment, soil, agriculture, precision agriculture, biological sciences) with a Merit and a minimum average grade of 60
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– set up and alignment Numerical modelling Scientific software development Geochronology You should possess strong communication and academic writing skills in English. You must have a two-year master's
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field. A track record of obtaining external funding and a strong publication record in leading journals is required, with evidence of broad impact. Your primary objective will be to strengthen
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with both academic and industrial partners in Denmark as well as abroad. Your primary tasks will be to: Investigate suitable thermal storage configurations for centralized (district heating) and
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/GC-ICPMS) and the scientists involved (David Amouroux, Maïté Bueno, François Rigal et Emmanuel Tessier). This project is carried out in collaboration with Andra. The candidate must have a Master's