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and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data
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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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hampers our ability to establish causal relations between molecular alterations and disease phenotypes. In this PhD you will address this by developing a deep learning model of cancer. The PhD position
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the Royal Institute of Technology, Stockholm. Dahlin’s team works at the intersection between experimental and computational medicine to map blood cell development at the single-cell level. This is performed
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the RELOC-AGE research programme. A web-based housing counselling service has been developed in the programme with the aim of supporting older people to make well-informed decisions about their future housing
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employment is an advantage. Interest in or knowledge/prior experience with the empirical field (cryptocurrencies and entrepreneurship) is a requirement, and relevant methodological knowledge (e.g. web scraping
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of MSI advances our understanding of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as
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Uppsala University, Department of Organismal Biology The Department of Organismal Biology teach about, and explores the evolution, development and function on the organismal level. We study the
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both qualitative and quantitative methods, e.g., case studies, interviews, applied analytics, and field experiments. By developing new theories and applications, you will have the opportunity to solve