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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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, dynamic programming , statistical signal processing, reinforcement learning, and have good programming skills in Python and MATLAB. - Ability to work independently and ability to formulate and tackle
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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
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ability to work independently, flexibility, ability to prioritize and meet deadlines, curiosity and willingness to learn, and organizational skills. Place of work: Uppsala, Sweden Forms for funding
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for protein structure and function determination (e.g., X-ray crystallography, NMR, cryo-electron microscopy). You will learn how to use advanced bacterial culture conditions to grow the species of the human