63 developer-"https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at Nature Careers in Denmark
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families. Specifically, we offer: Access to state-of-the-art facilities and computing infrastructure; Strong support for research career development, including mentoring and international networking
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checks may be conducted on qualified candidates for the position. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping
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You will establish and develop functional screening pipelines to identify novel repressive chromatin factors, using genome-wide integrated transcriptional reporters as a quantitative readout of
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environmental changes. More specifically, they will develop methods and approaches to identify changes in underlying biogeochemical processes that affect carbon and nitrogen balances. The candidate will have
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resonators. Expected start date and duration of employment This is a 2–year position from 1 August 2026 or as soon as possible. The aim of the project is to develop “nanoguitar” optomechanical resonators
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
activities are project-based with a solid tradition in cross-disciplinary research and international collaboration. Job description The postdoctoral researcher will work with Dr. Robert Ladwig on developing
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Are you interested in catalysis, and can you contribute to the development of chemical technologies for thermoset plastic recycling? Then the Skrydstrup Group at the Interdisciplinary Nanoscience
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Further, we will prefer candidates with some of the following qualifications: Teaching and supervision experience at the BSc and MSc level Interest and experience in developing competitive national and
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supervision experience at the BSc and MSc level Interest and experience in developing competitive national and international research applications Experience in planning and conducting molecular laboratory work
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will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental