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University of California San Francisco | San Francisco, California | United States | about 2 months ago
cloud-based storage and service tools is helpful Preferred Qualifications: MS or PhD in a relevant field Experience with network neuroscience, graph theory, or connectomics Familiarity with high
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deliverables. Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Electrical Engineering, Energy Systems, Applied Physics, or closely related field, and at least 3 years
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program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Apply for Job
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for the support of telepresence applications. You should have or be working towards a PhD in computer science, networks or communications. You will have the ability to learn quickly, with excellent communications
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of Excellence for Data-Driven Discovery, applying advanced computational techniques to develop novel therapeutics. This position will work closely with researchers in the Center of Excellence for Data Driven
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Development Division of the Information Technology Services Directorate. Our AI/ML models are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC
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qualification in Computer and Data Science A master's degree or PhD [awarded in computing or a closely related discipline will be an advantage] Proven work experience with the development of ML Proficient in
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Faculty Position - Immunology or Bone Marrow Transplantation & Cellular Therapy - Center of Excellen
SJCRH St. Jude Children's Research Hospita l has launched a significant expansion of its translational immuno-oncology and immunotherapy program with the establishment of the Center of Excellence
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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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streams—including data streaming to cloud databases, scientific visualization, and integration of machine learning workflows. Development of additional modules within commercial FE software (ABAQUS, MSC