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Field
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Qualifications Experience: Relevant programming experience developing, implementing, debugging, and maintaining applications with Python. Experience working with high performance computers (e.g., parallelizing and
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State University of New York University at Albany | Albany, New York | United States | about 22 hours ago
vibration isolation). In parallel to the benefits of quantum computing, artificial intelligence and neuromorphic computing seek to emulate the massively parallel, highly efficient computing capacity
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computing (HPC) and parallel processing to enable the analysis of massive datasets. Experience in advanced statistical inference (e.g., Bayesian statistics, spectral methods) for extracting robust patterns
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interpretation and reporting tasks; Support grant and manuscript preparation efforts. Candidate must be comfortable working on multiple projects in parallel, requiring excellent time management and organizational
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Medical Campus. 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
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
projects using massively parallel reporter assays (MPRA) to quantify the impacts of disease-related genetic variants. Finally, they will interact with nearby collaborators to plan and analyze functional
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parallel screening platform to discover orthogonal protein binders. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing
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, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security teams, scientists, and IT leadership to ensure
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
organizational, communication, and problem-solving skills, with the ability to manage multiple parallel workflows in a fast-paced environment Comprehensive understanding of scientific research processes
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, Python or similar 3. Demonstrated, successful experience (academic or professional) with parallel programming using languages such as OpenCL and/or CUDA 4. Demonstrated, successful experience (academic