23 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at University of Lund
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biology, analytical chemistry, evolution, and data science. The workplace offers access to state-of-the-art core facilities for advanced microscopy and cytometry, cell and molecular biology, extracellular
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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
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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
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solution that has the potential to enhance current immunotherapy approaches. This includes cell culture, microscopy, histology and working with animal models. The work duties also comprise data analysis
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outside Europe. Collect and analyze high-quality data. Develop your own research questions within the framework of the project. Participate in regular project meetings and collaborate closely with other
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) relevant for the position, specifying the role of the candidate, A general description of past research and future research interests (no more than two pages), Contact information of at least two references
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often emphasizes the importance of asset diversification, there has recently been growing empirical support in research for the view that temporal information, in combination with diversification, plays a
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The Remote Sensing and AI in Hydrology research group within the Division of Water Resources Engineering pioneers the integration of diverse remote sensing data with advanced artificial intelligence to enhance