18 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" Postdoctoral positions at University of Lund in Sweden
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supporting environment? Then join us and take the opportunity to make a real difference! For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an
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, has a particular focus on innate immunity, with emphasis on the complement system in health and disease. More information about the research group: https://www.protein-chemistry.lu.se Within
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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 wish to be
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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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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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duties, such as: Cryogenic DC and Microwave measurements using dilution refrigerators. Data analysis and interpretation of hybrid semiconductor-superconductor systems. Design and implementation of hybrid
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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
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the position matches your qualifications. The application must also contain a CV, diploma or equivalent and anything else you wish to refer to (copies of grades, information for references, letters
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. More information about the Division of Heat Transfer can be found here . Subject and project description Additive Manufacturing (AM) enables unprecedented design freedom for next-generation thermal