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environments is highly desirable Programming skills in R, Python or equivalent Excellent communication skills in English High motivation for collaborative and interdisciplinary work What we offer: Work-life
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Knowledge of university processes and structures is desirable Excellent knowledge of English (C1) Experience abroad Team player and high social/communicative skills What we offer: Work-life balance: Our
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should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine
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for candidates with a strong foundation in human physiology and metabolism, and a passion for impactful, translational science. Key Responsibilities: Research Design and Implementation: Plan and execute
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into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. The position is full-time and fixed term for 41 months or to the funding end date of 30
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track record of research publications in your field Excellent communication skills (fluency in English) and strong collaboration abilities Finnish language is not required Highly motivated to conduct
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into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. The position is full-time and fixed term for 41 months or to the funding end date of 30
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and informatics skills are required, i.e., R, Python, MATLAB, deployment of web experiments (using cloud services). Being able to communicate fluently in English is a must. Your future tasks: As a new
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. Fluent English is required along with some proficiency in German and/or French. The postholder will join an internationally oriented team of scholars and cultural sector partners mobilising archival
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(MRC CMM) seeks an experienced research associate to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC