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available. Salary based on course contract. Minimum Qualifications University Parallel: Master’s degree in the discipline or subfield in which an individual is teaching, or Master’s degree and a minimum of 18
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programming proficiency in Python and C/C++. Expertise in ensemble learning (e.g., Random Forests, Gradient Boosting, bagging/stacking frameworks). Hands-on experience with parallel or GPU-based computing (CUDA
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Deadline 29 Jan 2026 - 15:00 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Part-time Offer Starting Date 15 Jan 2026 Is the job funded through the EU Research Framework Programme? Not
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. Programming experience in C/C++ is necessary while experience in parallel and GPU computing is most desired.PX4, Pixhawk or equivalent. Ability to work well with team members and good communication skills
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eigenvalue problems Experience of MPI, OpenMP, and other parallel programming models Understanding of quantum many-body problem and tensor eigenvalue problem Excellent oral and written communication skills
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distinct individuals with varied interests, needs, and abilities. Salary based on course contract. Campus varies. Minimum Qualifications University Parallel: Master’s degree in the discipline or subfield in
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systems, high-speed parallel file systems, and archival solutions critical to advancing scientific discovery and innovation. As part of ORNL’s leadership-class computing ecosystem, you will play a vital
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all fields of electrical and computer engineering including power systems, parallel and distributed systems, mobile systems, control systems, electromagnetic and transmission lines, embedded systems
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efficiently. Parallel computing, including algorithms and data structures, compilers, operating and runtime systems, software, programming methods, applications, and architectural support, will continue to be
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the Institute for Neurosciences at the University of Miami Miller School of Medicine. This faculty member will establish and sustain a high-impact research program in a relevant neuroscience domain, producing