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and parallel computing, or scientific simulation; Effective oral and written communication skills; Ability to work well independently as well as in a collaborative team environment. COMPENSATION AND
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, engineering, bioinformatics, computer science, mathematics, statistics, data mining, parallel programming, supercomputing, or cloud computing . Application Instructions How To Apply Interested individuals
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candidates should have a strong background in computer science, parallel computing, compilers, performance optimisation, and high-performance computer systems. Excellent knowledge of C and C++ is
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and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific datasets, scientific programming, and the
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learning, high-performance and parallel computing, or scientific simulation; Effective oral and written communication skills; Ability to work well independently as well as in a collaborative team
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supercomputer architectures Research Software Engineering for massively parallel molecular and coupling software (especially Is1 mardyn, MaMiCo) Supporting the professorship HPC & Data Science in research
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and high-performance computing to build and run advanced numerical models, carry out simulations and analyse results in a systematic and transparent way. Depending on ongoing projects, you may be
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-Independent Acquisition (DIA), Parallel Reaction Monitoring (PRM), Quantitative proteomics workflows, Data normalization and quality control strategies, Strong experience in processing and interpreting
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University of Oklahoma Health Science Center | Oklahoma City, Oklahoma | United States | 21 days ago
parallel recordings (Gong et al. Science, 2015; Beck et al. Scientific Reports 2019); (2) The lab creates fast and accurate algorithms for processing large imaging datasets (Bao et al. Nature Machine
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The University of Texas MD Anderson Cancer Center | Houston, Texas | United States | about 9 hours ago
computational biology, physics and (bio)statistics, biology or medicine. Applicants must have a proven publication record. Prior experience with handling massively parallel sequencing data is considered an