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), Arabic, Tagalog, Farsi, French, or/and Yoruba. Position Overview The combination of machine learning and advanced manufacturing offers the potential to model and predict the performance of high-performance
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. Specific duties include: Design and Performance of Research Experiments (75% of Time Spent) Mechanism based discovery of cancer therapeutics. Characterization of metabolic processes of leukemia stem cells
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Characterization via SEM, EBSD, XRD, TEM, Computed Tomography and/or other techniques. • Experience in Additive Manufacturing Processes and Materials Testing. Preferred Qualifications Ability to perform experiments
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Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with
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. Familiarity working with publicly available genomics data and working in high-performance computing (HPC) and/or UNIX environments is a plus. Highly motivated, able to creatively take initiative to see your
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digestibility, and genetic transformation of monocots. Performance Standards & EEO Statement The criteria for evaluation in this position include, but are not limited to, the following: Exhibit high-level
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: 272540344 Position: Postdoctoral Research Associate Description: The High Meadows Environmental Institute (HMEI), (https://environment.princeton.edu/) invites applications for postdoctoral research associates
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Laboratory. This is an opportunity to be part of a team helping with the design of new system software and runtime infrastructure to improve the performance and energy efficiency of future scientific computing
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Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Skills and Qualifications: Experience with high-performance computing and parallel computing Familiarity with data
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detector 3. Thermo Scientific Vitrobot in a humidity-controlled room 4. Essential tools for cryo-TEM grid preparation and storage High-performance computing resources for cryo-EM data handling/processing