550 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"St" positions at University of Texas at Austin
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of Oncology at the Dell Medical School is seeking a Data Analyst I. Note: This candidate must be authorized to work in the United Stated without sponsorship. Our cancer research program focuses on translational
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Master’s degree in Data Science, Engineering, or Healthcare Informatics. 7+ years of progressive experience in data engineering. Experience with cloud platforms (e.g., GCP, AWS, Azure). Salary Range $135,000
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the implementation and optimization of infrastructure solutions (e.g., networks, data centers, cloud platforms, medical and end-user devices) necessary for the implementation of our Electronic Health Record system and
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experience with machine learning libraries (PyTorch, TensorFlow, scikit-learn), especially with HPC/cloud-based environments. Proficiency in developing websites or visualization portals (ReactJS) Proficiency
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results and reporting AWS Cloud and Kubernetes experience. Applicant must have a dynamic skill set, willing to work with new technologies, be highly organized and capable of planning and coordinating
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their compilation tools in different environments. (C++, Fortran, ...) Experience with parallel computing, cloud deployment, and network license managers (FlexLM, RLM, etc.). Strong background in
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microelectronics, artificial intelligence, quantum computing, high-performance computing, and next-generation healthcare devices. Our Impact Backed by $1.4 billion in combined funding from DARPA, Texas state
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development for new space and as the hub for the next generation of computational methods and data analytics for aerospace. This role has a high impact on our ability to support our cutting-edge research and
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Compensation program 457(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition
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(20 hours per week) or a full-time position (40 hours per week). Purpose Provide technical support for the High-Resolution X-ray Computed Tomography Facility at The University of Texas at Austin (UTCT