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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and
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team. Our research investigates fundamental mechanisms underlying neurodegeneration and cancer, with current projects focused on two major areas: 1. Protein quality control, aging, and neurodegenerative
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
substantial intellectual independence and opportunities to collaborate closely with machine learning scientists developing predictive models of cellular function. Machine learning experience is not required
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independently. Among the key duties of this position are the following: Designs, discusses, and performs diverse experimental models and techniques related to the study of innate cells. Contributes to general
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) for catchments in Germany. This includes implementing and validating specific components (the weather generator nsRWG and the hydraulic model RIM2D) and running the entire model chain for current and future
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of the meiotic cell cycle. Our work involves genetic mouse models, combined with molecular, cellular, and biochemical analyses. A successful candidate will work closely with the principal investigator as
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substantial intellectual independence and opportunities to collaborate closely with machine learning scientists developing predictive models of cellular function. Machine learning experience is not required
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inflammation and disease. Using patient samples and advanced human models including patient-derived precision-cut liver slices, you will explore the immunological effects of real-world plastic exposures. With
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: Christopher T. Rentsch, PhD, FISPE, [email protected] Website: https://medicine.yale.edu/internal-medicine/vacs/ Introduction to the Research Group The Veterans Aging Cohort Study (VACS) has been