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. The overarching aim is to investigate the link between social resilience and circularity, connecting the product to people and places, opening the realm of social interactions, relations, rituals, habits, values
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-of-the-art methodology in endogenous protein editing and tagging by CRISPR and integrase strategies. Training in state-of-the-art technologies and data analysis as well as research management, oral and written
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, epidemiologists, clinicians and chemical analysts to identify links between environmental toxicants/pesticides and Parkinson’s Disease. You will as part of the consortium further gain unique access to meetings and
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Job Description Are you passionate about data science and X-ray experiments? If so, this position might be perfect for you. We are seeking a data scientist to advance our analysis of complex data
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
should be sent electronically via the link "apply online" and the Faculty expects applicants to read the information "How to apply " before applying. The application must include: A letter stating your
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employment is 2 years. The preferred starting date is 1 November 2026 (or according to mutual agreement). The position is full time. You can read more about career paths at DTU here . Further information
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structures. You will work closely with computational researchers to gather data, evaluate AI predictions, and design experiments. You will work in a team with 7 PhD-students and 4 postdoctoral researchers and
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Confederation of Professional Associations). Please check links for more information on salary (only available in Danish) and taxation . The application must include the following: A letter explaining your
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technology to real-world conservation challenges, working directly with data that informs habitat management and biodiversity protection. Expected start date and duration of employment This is a three year
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Nordisk Foundation, aiming to establish a potential causal link between the gut microbiome and cardiometabolic diseases (CMD). The research project will focus on identifying and characterizing novel