60 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Copenhagen
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departments. The faculty has an annual budget of DKK 3 billion. Learn more about The Faculty of Science at www.science.ku.dk You can read about the recruitment process at https://employment.ku.dk/faculty
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, semiparametric inference), and ideally experience with high-dimensional econometrics, machine learning, or advanced causal inference methods. Demonstrate the ability and motivation to pursue independent research
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available as preprints: https://www.biorxiv.org/content/10.1101/2025.11.06.686939v1 and https://www.biorxiv.org/content/10.64898/2025.12.08.691990v1 We use a wide range of experimental approaches including
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on sociological and psychological factors. Read more here https://kiso.ku.dk/forskning/ , The postdoc’s duties will include research within cardiovascular physiology of menopause as well as teaching. The post may
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extensive experience working with large data sets in Python are required for the position. Experience with machine learning, OCR, natural language processing, geospatial analysis, and data visualization is a
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is a successful academic community that strives to put knowledge into action by: Engaging partners in the co-creation of knowledge, learning and social change. Empowering our students to become
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, organizational contribution, external funding, and leadership) provide a framework for assessing candidates. Find information about each criterion here: https://employment.ku.dk/faculty/criteria-for-recognising
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Committee. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Interviews will be held on 27 April 2026.
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analysis of next-generation sequencing datasets, such as ChIP-seq, RNA-seq, ATAC-seq Experience in computer programming languages, such as R, Python Experience in quantitative mass spectrometry for analyzing
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. The position is for 2 months with start date of 1 May 2026. About us The Center for Glacial Rock Flour Research (https://globe.ku.dk/research/glacial-rock-flour-research/ ) is focused on an innovative approach