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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
1 – Molecular Simulations of Asymmetric Biological Membranes (CRC 1348) Biological membranes are intrinsically asymmetric molecular assemblies whose organization and function emerge from the interplay
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preferred (Master’s degree or higher). Skills and Knowledge: Proficiency in programming, traffic simulation, statistical modeling, and machine learning/deep learning techniques. Excellent communication skills
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response protocols; and crime and fire statistics for the three previous calendar years. A paper copy of the ASFSR is available upon request by contacting the UCSC Police Department at 114 Carriage House Rd
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closely related field; Ph.D. (or completion of all doctoral requirements) preferred. Preferred Qualifications Experience with reservoir simulation and machine learning and the proficient use
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Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety
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([email protected]), Search Committee Chair, and copy Stacey Oliver ([email protected] ). The successful candidate will be required to provide an official transcript to the hiring department upon hire. A
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Friday Advertising Copy Full Time/Part Time Full Time Posted Date 07/07/2026 Close Date/Application Deadline Open Until Filled Yes Review Begins 07/14/2026 Tentative Start Date
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. Prior industry experience in drilling hydraulics design or experience working with wellbore hydraulics simulator is preferred. Application review will begin immediately and continue until the position is
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qualifications listed Curriculum vitae outlining higher education and professional experience (especially research internships) Copy of your Master’s thesis + any relevant publications Diplomas and degree
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to interdisciplinary research focused on human behavior, simulation, emerging technologies, and real-world operational environments. The successful candidate will support externally funded research initiatives involving