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dimensionality reduction. Application of machine learning in drug discovery: target identification, drug repurposing, virtual screening, PK/PD modeling, and drug-drug interaction prediction. Data mining
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maintain malignancy, evaluating novel selective dependencies and resolving the mechanisms governing dependency, and application of machine learning, artificial intelligence, and other advanced data science
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a collaboration between five Helmholtz Centers (MDC, GFZ, AWI, DESY, HZB), the Berlin Institute for the Foundations of Learning and Data (BIFOLD), and three Berlin universities. To strengthen our team
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Information Systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, and Machine Learning/AI 5G on organisations from
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, human physicians, veterinarians, or pharmacists with a doctorate (PhD, MD-PhD) and at least 2 years of postdoctoral experience or a comparable qualification may meet the requirements. Excellent scientific
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design. You will be working alongside internationally recognized scientists who are leaders in such disciplines as AI/machine learning (Dr. M Madan Babu), NMR (Dr. Charalampos Kalodimos), cryo-EM/ET (Dr
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-throughput data analyses, machine learning and software engineering. We work in a highly dynamic and collaborative environment focussing on the identification of molecular markers of breast cancer by
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. Its human size fosters close interaction between students and lecturers, creating a personal atmosphere. With 1,600 members of academic staff for 6,700+ students and 1,000+ PhD candidates, students feel
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the ability of neural networks to learn unknown posterior distributions distributions. Their use in the field of image microscopy, however, remains limited. The purpose of this PhD thesis is to develop
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Programme is a scientific visitor scheme designed to provide early-career students/researchers (prior to embarking on a PhD) with a passion for technology and tool development an opportunity to gain hands