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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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professors, junior research group leaders Berufsausbildung an der Universität Tübingen International researchers Excellent research conditions Values Career development Benefits Family and career Tübingen and
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and Primary Care and Medical Genetics. They will support and conduct analyses of complex datasets, involving both the development of novel analytical methods and the application of existing techniques
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Gjøvik, and offers design programs in fields such as industrial design, graphic design, interaction design, service design and web development. The department’s strategic research areas include design for
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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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attachment. Main tasks Collect, compile, and analyze data to map the responses of plants and pollinators to climate change Participate in the development and adaptation of statistical models for analyzing
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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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on mitochondrial epigenome and epitranscriptome during early development the effect temperature on oocyte epitranscriptome Candidates are subject to Nord University’s requirement for residency at the institution via
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familiar with the acquisition and reduction of data from astronomical facilities and with the use of database and web-based systems , including familiarity with developing web interfaces for data analysis
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In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and