985 parallel-computing-numerical-methods-"Prof" positions at University of Texas at Austin
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and are also involved in planetary missions and climate modeling. These research projects produce large data sets and require computational analysis and visualization. This position is for one year with
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the areas of cancer biology, immunology, and cancer therapeutics. We are particularly interested in candidates who utilize innovative computational approaches, data analytics, or artificial intelligence
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with the Immersion Grating Infrared Spectrograph (IGRINS), the 2.1-m and 0.8-m telescopes, and a node for the Las Cumbres Observatory (LCO) network. The UT Astronomy Program provides vibrant
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clinical trials, cooperative groups, and consortia. The Program Director will work collaboratively with Division Chief and 12 Pediatric Hematologists-Oncologists and 20 advanced practitioners (APN/PA
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bring new complementary ideas and skills to our research program and are interested in engaging key stakeholders in the industry and government. UT PGE’s faculty and students work and study using state
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Interfolio. Additional materials may be requested after the initial review of applications. Please direct questions about the search to Prof. Mary Neuburger (burgerm@austin.utexas.edu) with the words “Slavic
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, computational techniques for high-dimensional problems and inverse problems, generative AI applied to scientific problems, and large-scale nonconvex optimization methods used in machine learning. This search is
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background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group. Purpose We are seeking highly
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scholar with expertise in the application of computational, data-science, and/or AI methods as applied to human data from one of many domains (e.g. memory, attention, emotion, language, social behavior
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assigned. Required Qualifications PhD in engineering, physics, mathematics or other related applied sciences. Five years of experience in theoretical and numerical evaluation of finite element methods