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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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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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-auditing at leuphana.de Web: https://www.leuphana.de/institute/imaf.html Legal notice: The information on this website is provided to the DAAD by third parties. Despite careful checking, the DAAD cannot
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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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) to understand marine food web impacts, ii) changes in ecology at OWFs and other factors (e.g. changes in fisheries, and ongoing and future climate impacts), and iii) cumulative impacts on the natural capital of
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opportunities for lawyers to help shape the AI revolution itself. Do you want to develop the research expertise and skills to ensure that the benefits of AI systems are realised without introducing harm as the
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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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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
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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