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multiple research software products (e.g., HiGlass , Vitessce , Gosling , HuBMAP Data Portal User Interface , etc.) that the HIDIVE Lab has developed and maintains through a team of engineers and
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multiple research software products (e.g., HiGlass , Vitessce , Gosling , HuBMAP Data Portal User Interface , etc.) that the HIDIVE Lab has developed and maintains through a team of engineers and
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a Master’s degree in computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or another related field; or
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foundation in computer science or artificial intelligence/machine learning, with knowledge of cybersecurity or a demonstrated motivation to apply AI/ML in cybersecurity Strong programming and software
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, Machine Learning, Computer Science, Data Science, Control Engineering, or a related subject, and you should be able to demonstrate project experience in a technically demanding area. Skills and
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. Generate high-quality benchmark datasets Implement computational software and workflows Use developed algorithms to: screen candidate organic molecules, support inverse molecular design, discover
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<span lang="en">Universitätsklinikum Hamburg-Eppendorf</span> | Hamburg, Hamburg | Germany | 18 days ago
released as open-source software, applied to a well characterised cohort of human kidney biopsies, and evaluated together with our partners. You will present your results at international conferences and
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As part of its software suite provided to its clients, Cegid and its partners use cookies on this website to: Provide the basic functions of the website; Obtain audience insights; Allow users to use
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research to design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You
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algorithms and data analytics tools, and share your results with experimental collaborators. The position is part of the Research Council of Finland project ELPH-ML ( https://research.fi/en/results