239 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs in Denmark
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addition to the specialised facilities and resources within reNEW and BMI, reNEW researchers have access to the core facilities at the other reNEW nodes as well as at the Faculty of Health and Medical Sciences: https
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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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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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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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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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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