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science/machine learning, parallel computing, and cybersecurity. CSM recently acquired a High-Performance Computing (HPC) cluster with 640 compute cores. Faculty duties include student advising
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. The Department has grown substantially in the past 15 years, from 40 to 120 faculty in parallel with the remarkable growth of our hospital-based affiliates as well as the city and county of Denver. Our work is
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Volume imaging with transmission EM and multibeam scanning EM Maintenance of microscopes and other instruments Training collaborators at PNI on EM procedures Essential Qualifications: PhD degree in
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algorithms and complexity theory, including in both well-established settings (e.g., sequential computation on a single machine and distributed/parallel computation on multiple machines) as well as emerging
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research team and work on cutting-edge theoretical and observational aspects of binary and multiple stellar populations. In parallel, the applicant will teach an undergraduate core science course/lab to non
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experience, or a Master's degree with 1 or more years of relevant work experience, or a PhD degree in computer science or a related field (e.g., engineering, applied mathematics, statistics). Good research
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-of-the-art foundation models and large vision-language models. Experience in large-scale deep learning systems and/or large foundation model, and the ability to train models using GPU/TPU parallelization
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Knowledge, Skills, and Abilities: Bachelor’s degree with five (5+) years or a Master's degree with three (3+) years or a PhD degree in computer science or a related field (e.g., engineering, applied
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successful applicant will join Andrej Prsa’s research team and work on cutting-edge theoretical and observational aspects of binary and multiple stellar populations. In parallel, the applicant will teach
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acquisition (DIA), data dependent acquisition (DDA), and parallel reaction monitoring (PRM) proteomics experiments to fit the specific experimental needs of stakeholder cancer researchers. Manage a wide variety