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information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial
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aimed at developing data-driven methods to map biological values, identify biodiversity indicators and predict the effects of various management and restoration measures in streams and rivers. The work is
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various environmental samples ranging from extinct and ancient animals to consumer food products. These fragments can be detected and analyzed using our specialized wet and dry-lab methods. The objective
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and written proficiency in English. Experience with analytical methods, such as microbial physiological and biochemical assays or organic matter characterisation. Technical background in data analysis
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analyses within nationally prioritized data-driven life science research projects, using state-of-the-art computational methods Develop and implement necessary tools and workflows for such analyses Educate
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Swedish and English are used in parallel at the department. The professor should be able to perform most of their tasks in English. However, as a public authority, the university has Swedish as its main
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division at the department of Electrical engineering at Chalmers. Here, a team of PhD students, post-docs and senior researchers are working on modeling and numerical optimization of problems in the areas
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, the Knowledge Foundation (KK-stiftelsen) and industry partners have decided to support Mission 0 House with an additional program, with a budget of nearly 100 million SEK over a five-year period, starting in Q1
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universities. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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aims to address scientific and sectoral gaps in biological imaging from molecular, cellular, and tissue levels to organ and organism levels of organisation. The programme is coordinated by LINXS, Lund