901 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions in Sweden
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: research experience in skin biology, tissue repair, reparative medicine, epigenetics, or RNA biology experience in multi-omics integration, advanced statistics, machine learning, or biological data
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will receive five weeks of training in teaching and learning in higher education and get the opportunity to learn Swedish through the University’s Swedish language courses for new international staff
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to professor. You will receive five weeks of training in teaching and learning in higher education and get the opportunity to learn Swedish through the University’s Swedish language courses for new international
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and validation of machine-learning and statistical models for disease prediction, prognosis, and therapeutic response. Proficient in R, SAS, and other bioinformatic tools for data integration and
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seamless connectivity across terrestrial and non-terrestrial segments. In this context, data-driven, artificial intelligence (AI) and machine learning (ML)-native approaches are essential for the design and
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loop/TAD structures. - Perform comparative analyses versus Populus tremula; apply network modelling and machine learning for regulatory inference. - Functional validation of candidate TE‑CREs in spruce
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about working with us Work at Lund University | Lund University Ready to shape the future of research? Find more reasons why Lund University and the HT Faculties is right for you here , and learn more
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Information Technology conducts broad research in cryptography, computer security, wireless and wired networks. The Security Group has around 20 members. The main research areas are cryptography, privacy, and
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mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full professors and almost 50 senior
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research grants from funders relevant to a Swedish context. Ability to teach courses on adjacent programmes in the department, e.g., software development, human-computer interaction, embedded systems, etc