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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 14 hours ago
approaches to understand cancer treatment toxicity and improve patient care. Enthusiasm for learning new methods and collaborating across disciplines. Candidates are not expected to have experience in all
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learning and Generative AI. Produce publications in top conferences and journals. Offer guidance and assistance to students involved in the project. Collaborate with industrial and academic partners. Perform
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to cross-agency collaborations and the opportunity to learn from interdisciplinary teams spanning epidemiology, economics, and health policy. Attendance at high-level policy and planning meetings with
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relevant predictive models. The lab also maintains extensive collaborations with experimental and computational scientists across multiple academic, industry, and government partners. Trainees will have
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access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities. Learn more about Monash . Today, we have the momentum to create
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of working independently as well as collaboratively • Strong publication record in peer-reviewed journals • Good communication skills in English (both written and oral) • Prior experiences with
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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preliminary research proposal of a maximum of five pages, including references, addressing human–AI collaboration, creativity, and learning in education and working life. The proposal should outline
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, particularly robotic arms. Familiarity with human-robot interaction and reinforcement learning is a plus. Demonstrated ability to conduct independent research and contribute to collaborative projects. We regret
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research scientists have significant roles in a variety of collaborations and projects, including Learning the Universe, JWST, PRIMA, Rubin, Euclid, Roman[1] , CAMELS, DREAMS, MESA, AstroPy, Dedalus, LIGO