55 linked-data-"https:"-"https:"-"https:"-"Babes-Bolyai-University" Postdoctoral positions in Sweden
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in the research group for AI and society led by Stefan Larsson at LTH in Lund. The group focuses on social science-oriented but multidisciplinary issues linked to AI. The group collaborates e.g. over
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comprehensive support for large‑scale multi‑omic data generation/analysis and transformation/embryogenesis services for functional validation. Nathaniel is also an associate group leader at the Science for Life
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courses and grades, Copy or download links of doctoral thesis and up to three relevant articles, At least one signed letter of recommendation from referees who are qualified to assess the applicant’s
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Description of the workplace The postdoctoral position is linked to the Division of Clinical Chemistry at the Faculty of Medicine, Lund University. However, all work will be in close collaboration
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Intelligence (AI). For more info, please visit link . LUCI is well-established, with an extensive group of affiliated PhD-students, postdocs and more senior researchers from diverse disciplines, with a close
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will also use focussed ion beam milling scanning electron microscopy (FIB-SEM) to prepare infected cells for in situ cryo-ET. The resulting tomographic data will be analysed by machine-learning assisted
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anaerobic culturing techniques (e.g. anaerobic chamber, bioreactor) and analysis of 16S sequencing data. Furthermore, practical experience in working with mouse models is required. Other requirements
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in
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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 advertised position involves studies of specific
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep