16 post-doc-machine-learning Postdoctoral research jobs at University of Copenhagen in Denmark
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This Post Doc position at the Department of Plant and Environmental Sciences (PLEN), University of Copenhagen, is a 2-year research fellowship within the Algae Biochemistry group led by Assoc
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background in international and regional human rights law Knowledge of mercenaries and private military and security companies Qualitative research experience, specifically interviews Highly Desirable
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on post-training methods for these low-resourced languages, for example, by investigating the role of synthetic data, among other data augmentation techniques, and the role of in-context learning in
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] Subject Areas: Statistics, Probability, OR, Actuarial and Financial Math Appl Deadline: 2025/11/15 11:59PM (posted 2025/08/16, updated 2025/08/11) Position Description: Apply Position Description
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us to explore the relation between the degree and type of processing, and the foods that result from their use. The results will be used for data machine learning, in collaboration with other partners
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relevant tasks. The department can offer postdocs who teach up to 20% of their working hours, the Teaching and Learning in Higher Education programme without hourly compensation. Qualification requirements
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] Subject Area: Mathematics Appl Deadline: 2025/11/15 11:59PM (posted 2025/08/16, updated 2025/08/11) Position Description: Apply Position Description The Department of Mathematical Sciences
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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 reflective and responsible citizens who
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policymaking. The post-doctoral researcher position is a full-time research position and does not involve any teaching obligations. For further information, including more details on BIZPOWER, please contact
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information For further information please contact Associate Professor Christian Lyhne Ibsen at cli@faos.dk . Information about the recruitment process is available from HR, e-mail: HR-soendre@adm.ku.dk