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is expected An excellent mathematical background and experience in software development is required Experience in developing and applying statistical and/or machine learning-based computational methods
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leader in interdisciplinary, applied research with expertise in visualization, design, computer graphics, and learning science. The research nexus for the division is the Visualization Center C, a unique
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this academic year. We’re looking for two types of predoctoral fellows: “Machine learning” track: you’re very skilled in machine learning, in particular large language models. Ideally, you would have a Masters in
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include participating in the development of machine learning-based design methodologies alongside experts from Southampton and MIT (USA). Additionally, you will engage in the nanofabrication of designed
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will be joining our efforts in continuing to push the state-of-the-art in the field. The candidate will lead a research agenda in one of our topics of interest in the area of Machine Learning for Biology
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 3 months ago
candidate will have a strong background in epigenetics and/or 3D genomics, computational biology, and machine learning. The successful candidate’s research will involve mining, exploration, integrative
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-edge single-cell technologies with applications in complex diseases. If your areas of interest and competence are genomic big data science and machine learning/deep leaning framework development, and you
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interdisciplinary approach; transcending traditional foci on patent statistics and citations. The student will apply novel digital research methods in natural language processing and machine learning (AI research
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, econometrics, machine learning, optimization, and large-scale data analytics. You will work closely with the advisors to define, develop, and execute your own research. The Ph.D. dissertation will be defined by