7,415 parallel-computing-numerical-methods "Institute of Computer Science" Postdoctoral positions
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learning, applied mathematics, computer science, or a related field; Expertise in computational methods, data analysis, software and algorithm development, modeling, machine learning, high-performance
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how to use the software. Solid understanding of neuromorphic computing and SNNs, including common neuron models (e.g., leaky integrate-and-fire) and SNN training or conversion methods (e.g., spike
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Skip to main content Home Login Register Jobs Home Current Vacancies How to Apply FAQ Contact Us Terms of Use Contact Us Cookies Accessibility Research Fellow in Quantum Computing The University of
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in a closely related discipline. Degree must be conferred by the appointment start date. Research experience in numerical ocean or geophysical fluid modeling with an understanding of numerical methods
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Whitehead Institute for Biomedical Research | Cambridge, Massachusetts | United States | 18 days ago
Massachusetts Institute of Technology) Employer Whitehead Institute for Biomedical Research Location Cambridge, Massachusetts Salary $143,200 – $154,000 Closing date 2 Dec 2026 Website https
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SPECIFICS The Institute for Computational and Data Sciences (ICDS) at The Pennsylvania State University is hiring multiple Tenure-track or Tenured faculty in Quantum Computing as part of an ambitious
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formal verification with Lean You have experience AI-assisted theorem proving or algorithm discovery is an asset You have working knowledge of numerical analysis, ideally numerical methods for PDEs You
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Requisition Id 17131 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative
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Requisition Id 17131 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative
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. Your work tasks This Postdoc sits at the intersection of mathematics, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from