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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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Job Code? Yes Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Weekdays / Hybrid work environment VP Area U of U Health - Academics Department 01102
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Job Code? Yes Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Weekdays / Hybrid work environment VP Area U of U Health - Academics Department 01102
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design, data analysis, and documentation of experiment results. Job Description Primary Duties & Responsibilities: Develops algorithms and computer software for omics-based data sets [high-throughput
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modern high performance computation facilities and parallel computing clusters (CPU and GPU). Excellent publication record and demonstrated conference presentation skills. Demonstrated ability to operate
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tools such as scientific computing, High Performance Computing (HPC), Big Data (Spark, DBMS), Machine Learning, cloud computing services (AWS, Azure, GCP), Massive Parallelism paradigms (MPI, OpenACC
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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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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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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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Edinburgh 2017, 108(2-3):299-313. Pinto U, Maheshwari BL: River health assessment in peri-urban landscapes: An application of multivariate analysis to identify the key variables. Water Research 2011, 45(13