85 phd-computer-architecture Postdoctoral positions at Conservatorio di Musica "Santa Cecilia"
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research and travel. Applicants should normally have received their PhD in the last 3 years and must have their degree in hand prior to taking up the position on 1 September 2025. The appointment will be
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based on Stanford University guidelines , and full benefits. Required Qualifications: Recently completed PhD, DrPH, MD, or other doctoral degree in a discipline related to nutrition, food systems
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to provide a full-time training program of advanced academic preparation and research training under the mentorship of a faculty member. Applications are welcome from all areas of theoretical physics, broadly
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research expenses. Please direct queries to Professor Lisa Surwillo (surwillo@stanford.edu (link sends e-mail) ). Required Qualifications: Applicants must have received a PhD from an accredited university in
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arterial hypertension using in vivo Perturb-seq. This project is related to a new NIH-funded Program Project Grant aimed at identifying differences and similarities in gene function across vascular cell
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, biostatistics, and related disciplines who meet the required qualifications are encouraged to apply. Required Qualifications: Doctoral Degree (PhD, MD, or equivalent) conferred by start date. Demonstrated
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Qualifications: Applicants must have received a PhD from an accredited university in German Language and Literature, History, Religious Studies, Philosophy, or a related field before the appointment start date A
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) Applicants must have completed all requirements for a PhD (or equivalent) in Physics, except the dissertation, at the time of application. Additional qualifications (required at time of start) Applicants
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different disciplines and mentors Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend
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with strong emphasis on developing, testing, and implementing optimized control or design strategies for water systems. They should have documented experience developing computational tools in water