104 parallel-programming-"Multiple"-"Simons-Foundation"-"Griffith-University" positions in United States
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algorithms and complexity theory, including in both well-established settings (e.g., sequential computation on a single machine and distributed/parallel computation on multiple machines) as well as emerging
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that includes multiple medical, dental, life and disability coverage choices for employees and dependents; choices of retirement and deferred compensation plans; paid personal leave plan; transit program, reduced
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, or a related field (preferred). Strong organizational and time-management skills with the ability to handle multiple tasks simultaneously. Experience taking conceptual ideas and creating actionable work
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) manage software engineering projects with multiple, concurrent development efforts, interact with both internal and external collaborators and architect application solutions, 2) serve as a primary
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research team and work on cutting-edge theoretical and observational aspects of binary and multiple stellar populations. In parallel, the applicant will teach an undergraduate core science course/lab to non
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methodologies, including data and model parallelism. Proficiency in GPU programming and kernel-based programming for deep learning, including the ability to optimize deep learning algorithms at a low level, is a
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computing, and parallel programming paradigms Strong publication record in reputable avenues Strong writing skills Strong skills in model development, data analytics, machine learning, and visualization
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acquisition (DIA), data dependent acquisition (DDA), and parallel reaction monitoring (PRM) proteomics experiments to fit the specific experimental needs of stakeholder cancer researchers. Manage a wide variety
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, Bioinformatics, Computer Science, Mathematics, Statistics, Data Mining, Parallel Programming, Supercomputing, or Cloud Computing. 3) Experience collaborating with diverse and geographically distant teams
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successful applicant will join Andrej Prsa’s research team and work on cutting-edge theoretical and observational aspects of binary and multiple stellar populations. In parallel, the applicant will teach