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discovery databases (CTRP, GDSC, PRISM, CCLE, DepMap, LINCS) and publicly available clinicogenomic datasets (CPTAC, TCGA, AACR Project GENIE, etc.). ● Experience with Cloud Computing Environments (e.g., Azure
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programs. Qualifications: Bachelor's degree in computer science or equivalent degree Four to six years of relevant experience Experience with full stack development and managing cloud VMs and servers. Strong
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data dissemination capabilities for making high-resolution earth system model output available to a diverse audience. Candidates must have a PhD in computer science, environmental and physical sciences
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models are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments
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, you must have a PhD in a relevant field. As a suitable candidate, you have expertise in deep convective cloud processes and experience with scientific data analysis. Prior experience in applying machine
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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for rural and immigrant populations. Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in
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, MATLAB) Strong knowledge of intelligent sensing, system integration, and cloud computing Demonstrated ability to produce high-quality research outputs Experience with collaborative research, ideally
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, device-edge-cloud continuum, or security of computer networks and systems. You will initiate new lines of research and coordinate the progress of scientific research projects. You will also participate in
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and leaders for rural and immigrant populations. Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin