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Field
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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
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position will included tasks related to integration synthetic genetic engineering, time-lapse microscopy imaging, lab-on-chip technology and advanced computer model simulations -- El puesto de investigador
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About the role We are seeking a highly motivated Research Assistant to join a dynamic research team in Cardiovascular Precision Medicine at the Division of Cardiovascular Sciences, University
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of combat related orthopaedic trauma. In particular, contemporary cell / molecular biology in vitro approaches as well as clinically relevant small and large animal models of orthopaedic trauma are utilized
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for epidemiology with some coding of simulations. Tentative start date: February 2026. This work will contribute towards the understanding of disease progression and building reinforcement learning frameworks
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individual with expertise or experience in single-cell genomics, liquid handling robotics, and/or next-generation sequencing with a strong background in molecular biology. The successful applicant will work
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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Oxford-E P Abraham Research Fund Graduate Scholarships Up to three full scholarships are available for applicants who are applying to the full-time DPhil in Molecular Cell Biology in Health and
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Oxford-Stephen Cobbold Graduate Scholarship The Oxford-Stephen Cobbold Graduate Scholarship is available for applicants who are applying to the full-time DPhil in Molecular Cell Biology in Health