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tools such as scientific computing, High Performance Computing (HPC), Big Data (Spark, DBMS), Machine Learning, cloud computing services (AWS, Azure, GCP), Massive Parallelism paradigms (MPI, OpenACC
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Master's degree in computer science, computer engineering, or equivalent. Demonstrate proficiency in English (reading, writing, speaking). Show the ability to work independently and in a team, as
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to carry out the duties necessary for campus development and operation. More information can be found at: https://ppdo.ucsc.edu/physical-plant/building-utilities-and-fleet-services/cogeneration-shop/ JOB
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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build the sustainable companies and societies of the future. The Biochemical Process Engineering research group, part of the Department of Civil and Natural Resources Engineering with approximately 350
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parallel scheduling frameworks and operates the Scalable Systems Laboratory, a cloud-native software testing platform for the NSF Institute for Research and Innovation in Software for High Energy Physics
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characterize microplastic contamination in urban environments and to estimate the annual microplastic loads discharged into receiving rivers at the scale of a given territory. In parallel, the postdoctoral
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Please apply here: https://apply.workable.com/ellison-institute-of-technology/j/91F1A5719B/apply/ Led by a world-class faculty of scientists, technologists, policy makers, economists and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
parallel experimental streams Experience with host-pathogen interactions, immune regulation, innate and adaptive immune responses Special Physical/Mental Requirements Special Instructions For information
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
, diffusion, GAN) Good understanding of the mathematical foundations of machine learning Mastering python and related AI software technologies Proficiency in English Experience in parallel training of large DL