239 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs in Denmark
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
. Proficiency in at least two of the following programming languages: Python, R. Experience in Machine Learning and Computational RNA Biology are desirable. Hands-on experience or understanding (the limitations
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academia and with clinical or industrial partners. Teach and supervise at the BSc, MSc, and PhD levels. Contribute to DTU Bioengineering’s research environment, including shared infrastructures
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an analytical laboratory (e.g. performing enzyme assays, chromatography, water quality analyses) An interest in learning new techniques Good analytical skills and communication abilities in English As a formal
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are seeking a candidate for a vacant position as Tenure Track assistant professor in AI and machine learning to develop a novel research area within the use of agentic AI models for improved analyses of whole
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hosts several research groups in pure and applied mathematics and offers a dynamic and collegial academic atmosphere. More information about the department can be found at https://math.au.dk . Place of
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and reflects our values of respect, trust, recognition, and professionalism. Learn more about the Department here and the Faculty of Health here . Your job responsibilities Your primary tasks will be
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for teaching and research CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation
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, please contact the head of the Geotechnics and Geology section at DTU Sustain, Associate Professor Eyal Levenberg: eylev@dtu.dk You can read more about DTU Sustain at https://sustain.dtu.dk/ If you are
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at two geographical locations in Aarhus and Roskilde. The Section for Biodiversity is situated in Aarhus and employs about 25 staff members. For more information on the Department see: http://ecos.au.dk/en
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interdisciplinary approach combines research in genetics, physiology and pharmacology, to better understand the complex interplay of the many factors that drive cardiometabolic disease. You can learn more in the