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to cutting-edge research in a dynamic and collaborative environment. If you’re eager to expand your research skills in a dynamic and collaborative environment, we encourage you to apply! To learn more about Dr
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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discovery. This position in particular focuses on sequence-to-function deep genomics modeling, with the goal of developing performant models that make generalizable out-of-distribution predictions
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capable, adaptable, and collaborative researcher with deep expertise in geochemistry, economic geology, or data science, and a strong interest in working across disciplines. The successful applicant will
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learning or deep learning research project; (b) evaluate the proposed algorithms; and (c) conduct a real-case analysis. Qualifications For the Research Fellow post, applicants should have a doctoral
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translational medicine concepts Publication history in relevant fields (AI/ML, genetics, toxicology) Experience with deep learning frameworks and generative AI models (e.g., GANs, VAEs) Key Leadership
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SIT's mission is centred on nurturing industry-ready graduates who possess deep technical expertise and transferable skills to address future challenges. We collaborate with industry in our
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. The plan is for the candidate tofocus on Bayesian modelling in close collabora-tion with researchers at the HISP centre that work on complementary deep learning approaches to disease modelling as
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Experienced in A.I., Deep Learning, and Simulations. Physical Requirements & Working Conditions Degree Requirement Listed degree qualification is required at time of application Posting Information FLSA Status
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intelligence sharing. Publish research findings in high-impact journals and present at leading conferences. Strong background in AI/ML techniques, including deep learning, anomaly detection, and predictive