22 medical-image-processing-phd Fellowship positions at University of Texas at Austin
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of nuclear and radiation engineering, including imaging, robotics, high-performance computing, reactor design and materials development. The groups provide a supportive community striving to solve the most
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-edge semiconductor manufacturing equipment and processes that will set the course for future advancements in semiconductor logic, memory, heterogeneous integration, chip cooling and more. Situated in the
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process. Purpose The Meyers Lab and epiENGAGE at The University of Texas at Austin are immediately seeking outstanding postdoctoral scholars to contribute to modeling the spread, surveillance, forecasting
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. Experience with the use of electronic medical records and clinical data. Self-direction, critical thinking skills, and ability to work as part of a multidisciplinary team. High computer proficiency, including
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communication processes for accessible climate science information. Co-designing youth participatory action research initiatives. Required Qualifications PhD received within the past 3 years in social sciences
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with NCI, CPRIT, and NIH-funded projects. Required Qualifications PhD in computational biology, bioinformatics, computer science, information science, biomedical engineering, or a related field. PhD must
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administrative tasks. Required Qualifications PhD in Clinical Psychology, Experimental Psychology, Neuroscience, or a closely related field (to be completed by the start date). PhD must have been received within
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-edge semiconductor manufacturing equipment and processes that will set the course for future advancements in semiconductor logic, memory, heterogeneous integration, chip cooling and more. Situated in the
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. Required Qualifications · PhD in Geophysics · Experience with land seismic acquisition, DAS, and time-lapse monitoring · Proficient in computer programming · Extensive publication and presentation record
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computational cluster and/or high-performance computer with Linux OS. Excellent oral and written communication skills and a collaborative working mindset. Strong publication record in closely related research