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generation followed by imaging at the Imaging core, 3) RNA functional genomics with methods such as massively parallel reporter assays (MPRAs) followed by sequencing at the Genomics core, 4) experimental
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Shell scripts as well as expertise in the development of Graphical Processing Units including use of CUDA, OpenCL, HIP and GP parallelization. Knowledge and research experience with advanced molecular
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Nations leadership and engagement, and a deep commitment to equity, diversity and inclusion will be essential. Perrett Laver will conduct an executive search process in parallel with the public
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following areas: Machine Learning, Deep Learning, Reinforcement Learning, Data Mining; Programming; Parallel programming and High-Performance; Computing; Scientific computing, Numerical methods, and Numerical
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programming (Fortran and C/C++) and performance optimization Knowledge of parallel programming paradigms such as MPI, OpenMP, OpenACC or equivalent technologies Experience with large-scale scientific software
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-painting approaches preferred. Knowledge of screening and assay analysis software such as CDD Vault, Prism, JMP, Genedata, or related platforms desirable. Ability to manage multiple parallel projects in a
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 months ago
’ of relevant experience; or an equivalent combination of education, training, and relevant experience. Experience with shared memory parallel programming. Experience with Python or R, particularly
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function as a coherent programme rather than as parallel projects. Day to day, you will chair consortium meetings, facilitate the weekly, biweekly and monthly catch-up meetings between all cohorts
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or commitments while making a meaningful impact. Posting is for Mathematics & Developmental Math courses. Salary based on course contract. Campus Varies. Minimum Qualifications University Parallel: Master’s degree
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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | 2 months ago
transcripts across subtypes. In parallel, the candidate will work on exploring epidemiological models within the framework of phylodynamics and phylogeography and integrating them with population genetics