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Biology, Pharmacometrics, QSP, Applied Math, Biophysics, Chemical/Biomedical Engineering, or related. Strong experience in ODE/PDE modeling and simulation (MATLAB, Python, or R). Experience with numerical
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Statement Qualifications Education & Experience PhD in materials Science, Mechanical Engineering and experience in Metal AM. Strong record of publication in additive manufacturing Knowledge & Skills N/A
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, Environmental Engineering, Automation, or related fields (PhD awarded no more than 8 years prior to the application deadline); Previous research experience, especially in modelling and simulation of energy
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health. Bringing together experts across basic science, engineering, clinical practice, and population health, FoDOCS fosters a highly multidisciplinary environment that spans fundamental discovery through
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engineering-based research applicable to cardiovascular disease as part of an extramurally funded project. The successful applicant will create computational models from medical imaging data and run simulations
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learning informed by the results of biophysical simulations in the prediction and analysis of cell organisation in tumoroids. Cells are active and can both manipulate and be manipulated by their environment
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Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in chemical engineering, chemistry, materials science and engineering, environmental engineering, and/or closely related