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information. The techniques include image registration, segmentation, and regression/classification, often include deep learning-base implementations. Together with experts in epidemiology, genetic, and multi
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environment to learn and develop. Main responsibilities Independent research and research training (80% of time) Support for education and activities within the research area and department (20% of time
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. The degree requirement must be met no later than at the time the employment decision is finalized, which occurs when the employment contract is signed. Furthermore, you shall be eager to learn new things and
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spectrum, in topics in virology and immunology, and currently specializes in computational biology focusing on developing methods and applications of deep learning for protein sequence and structure, as
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of education, teaching and learning. Didactics includes questions about content, different educational contexts, and how content is legitimised. Furthermore, scientific didactics investigates the forms
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Technologies” is seeking four to five doctoral students in didactics. Research in didactics deals with issues of education, teaching and learning. Didactics includes questions about content, different
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, and will apply deep learning to integrate the analysis flows. The PhD student will develop the method and apply to numerous in-house samples of environmental sequences, pushing the boundaries of RNA
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with different backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment
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deadlines, personal suitability. Very good spoken and written English skills are required. Knowledge of both spoken and written Swedish or willingness to learn Swedish within two years from the start of
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and eagerness to learn the required techniques as well as interest in the meritorious skills and experiences. On a personal level, we are looking for a good team player who can also work on their own