29 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "UNIV" research jobs at University of Lund
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at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model reduction, with
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, imaginaries, and emerging technology-impacted practices. Detailed description of the work duties, such as: Empirical data collection, for example, policy document analysis, stakeholder interviews, participant
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, collaborating closely with the project team throughout all stages of data collection and analysis. The position will be supervised by Lennart Olsson, Professor at the Lund University Centre for Sustainability
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for further development. The postdoctoral position includes a combination of experimental work, data analysis, as well as interpretation and presentation of research results. The main part of the work for the
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potential collaboration partners, conduct interviews, and take part in analysing data and writing articles. The duties of the post: Liaise with community partners Collecting and coding materials through
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find more information on our research website . We care about creating a positive, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning
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past research and future research interests (no more than three pages), contact information of at least two references, copy of the doctoral degree certificate, and other certificates/grades that you
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personal statement including a general description of past research and future research interests (no more than three pages), contact information of at least two references, copy of the doctoral degree
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ovarian cancer and accompanying biomarkers for guiding personalized therapy. Work duties The main duty is to conduct research within the subject area, including experimental work, data analysis
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-modal prediction models for breast cancer, using both medical images (X-ray, pathology) and clinical and tumor genomic data. The project AID4BC (AI-based Precision Diagnostics and Decision Support for