163 parallel-computing-numerical-methods-"Multiple" PhD research jobs in United States
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2000 undergraduate majors. The department boasts multiple state-of-the-art core- units with full-time staff. The core facilities include those focused on mass-spectrometry (MS)-based analyses (e.g
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the area of program evaluation and survey research, including identifying funding sources and RFPs; conducting literature reviews; developing research question; designing research methods, data analysis plan
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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer
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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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The Department of Electrical & Computer Engineering (ECE) at The University of Alabama is recruiting motivated PhD students to join our cutting-edge research program.Qualified applicants can
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to provide support and guidance. ● Lead training for camps focused on data use and interpretation for program improvement. Project Management and Evaluation Coordination ● Coordinate data collection efforts
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experience (front-/back-end, metrology/inspection, equipment maintenance, yield-improvement projects). Digital twin, IIoT, MLOps, real-time data streaming, edge computing. Causal/XAI, Bayesian methods
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skills. Preferred Qualifications: Prior research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization
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for this position will include: 60%: General Laboratory Support Conduct basic molecular biology research, which includes but is not limited to cell culture and multiple assays/ techniques (RNA, DNA, and protein
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). Experience in interdisciplinary team-based research. Preferred Qualifications: Prior research experience in computational biology, applied mathematics, or quantitative biology. Familiarity with numerical