246 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs in Denmark
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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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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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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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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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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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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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on working in Denmark and at AAU at https://www.en.hr.aau.dk/information-and-guidance Salary and terms of employment The employment is in accordance with the Ministerial Order on the Appointment of Academic
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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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these links useful www.ism.ku.dk (International Staff Mobility) and https://www.workindenmark.dk/ . Application The application must be submitted in English and must include the following documents
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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