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DEVELOPMENT) Percentage of Time: 100 Union Code (Name): 99 Employee Class (Appointment Type): Staff: Career FLSA Status: Non-Exempt Classified Indicator Description (Personnel Program): PSS Salary Grade: Grade
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computational experts to conduct efficient analyses leading to discovery in mammalian neuron genome structure-function data. In parallel, trains to achieve mastery and excellence in running code written by other
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occupational/technical programs and university-parallel/college transfer programs. The Coordinator of Work-Based Learning (WBL) is responsible for developing, implementing, and managing work-based learning
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
18 Feb 2026 - 00:00 (UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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in our Cancer Research Facility. A level 3 technician will be expected to contribute intellectually to the driving of a project, and be able to parallel process 2-3 research endeavors. The HS Research
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Employment Type: Permanent Staff (EHRA NF) Vacancy ID: NF0009437 Salary Range: Compensation for this position will follow the North Carolina Department of Public Instruction salary schedule found here: https
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through sensitivity, uncertainty, and scalability analyses. – Enhance the computational efficiency of large-scale optimization problems by exploring decomposition techniques, parallelization, and
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. These priorities closely parallel Lakehead University’s own research priorities and strengths and are reflected in the university’s Strategic Research Plan . Applications must demonstrate how the proposed program
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massively parallel sequencing assays of DNA and RNA from patient tumor samples. Data from these environments are used to advance research on both adult and pediatric cancers, improve our understanding
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linear algebra computations, building software for scientific applications using GPUs (Graphics Processing Unit), multi-threading and parallelism, numerical discretization methods (finite differences