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Posting Number R260058 Posting Link https://www.ubjobs.buffalo.edu/postings/61964 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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) environments, GPU-enabled systems, and cloud-based resources for large-scale data analysis and model development. Using these rich data resources, we develop and apply advanced AI/ML methods to model tumor
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for gravitational-wave and multimessenger signals and to explore challenging regimes of parameter space. Unit URL https://www.uidaho.edu/science/academics/physics Position Qualifications Required
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systems • Strong computational background Preferred Qualifications • Experience with GPU programming, shaders, or advanced rendering techniques • Experience integrating external APIs or live data
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and Design. With some 200 staff and students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description We are seeking a highly skilled System
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implementing high performance signal processing algorithms on resource constrained hardware Experience using FPGA development tools such as Vivado and LiteX Experience using GPU compute frameworks such as
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scientific goals on our lab website (https://hscrb.harvard.edu/labs/arlotta-lab/). In addition, the Arlotta lab is actively working to foster an equitable and inclusive community. Basic
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. Experience or training and deploying models on Graphics Processing Unit ( GPU ) hardware. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment
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Postdoctoral Research Associate, Adaptive Learning Agents and Computational Cognitive Science Posting Number req27365 Department Psychology Department Website Link https://psychology.arizona.edu/ Location