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within the department. Job Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic
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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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skills and the ability to track parallel workstreams, deadlines and deliverables with high reliability. Very strong written and oral communication skills in English and German (C1); ability to draft and
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to communicate and collaborate effectively in an international and interdisciplinary research environment. Desirable skills Experience in high-performance computing, including parallel programming and/or GPU-based
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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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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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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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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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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