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research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization. Some knowledge of probability and
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fast-paced research environment and will be responsible for the development of novel research methods, will conduct experiments using in-vitro and in-vivo approaches, will perform project planning, data
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., the Stanford Education Data Archive (SEDA). This position will support work to expand and improve SEDA through contributing to the development of new linking and estimation methods, the cleaning and integration
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
proper mechanisms for guaranteeing the privacy of the patients. Additionally, AI methods that explore this data may ensure that the patients are not identifiable and that all decisions are transparent
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for their final course assignment. Estimated course enrolment: 95 students Estimated TA support: 35-hours Class schedule: Lecture: Thursdays 2-5pm (in-person) TBC *The delivery method for this course is expected
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will be drawn from Canadian government policy developments and budgets during the session. Estimated course enrolment: 25 students Estimated TA support: N/A Class schedule: Thursdays 10am-1pm
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signals. This is a challenging problem, and one of the main objectives will therefore be to develop fast and robust estimation methods for the key cognitive measures and characterizations of the auditory
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this career opportunity) must apply online via his/her Workday account, which may be accessed here: http://workday.cornell.edu/ . Please contact Erin O'Rourke Parnapy, Assistant Manager for Human Resources and
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10 Apr 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Control engineering Researcher Profile
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Epidemiology, advancing interdisciplinary methods to ensure reliable AI in healthcare through innovative statistical and health-economic approaches. You will develop value-of-information measures and software