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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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collaboration Initiative Structured and goal-oriented approach to work Open-minded personality, teamwork and communication skills Above-average academic performance Experience with cell and molecular biology
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learning, image analysis, and advanced computing to study relationships between structure and function. Keywords: Human Brain, 3D Atlas, Deep Learning, Temporal Lobe, Brain Function Entry Requirements
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challenges of our time and conduct research into the possibilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 7,500 employees in one
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description: The PhD project aims to investigate how tree-derived defense metabolites influence the structure and function of microbial communities, including both pathogenic and beneficial microbes. The focus
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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles
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industry. The center offers an excellent working environment with access to state-of-the-art technologies and an outstanding high-performance computing infrastructure. For TUD diversity is an essential
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the remediation of contaminated materials. In the first year, you will receive 50% of the TVöD salary. Depending on your work performance, your remuneration may increase to 75% in the second year and 100% in
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Description With its work, the Leibniz Institute of Vegetable and Ornamental Crops (IGZ) contributes to a better understanding of plant systems and thus to the development of sustainable and
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Black Widow spider, Latrodectus tredecimguttatus . The work will primarily involve conducting behavioral experiments and applying LC/MS and GC/MS based metabolomics approaches to comprehensive explore