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Field
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computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in the storage, investigation and
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will join Andrej Prsa’s research team and work on the PHOEBE code , advancing our understanding of the processes in contact binary stars. In parallel, the applicant will be given an opportunity to teach
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: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis solutions that aid in the storage, investigation, and
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working with high performance computers (e.g., parallelizing and distributing code). Experience in distributed data management and workflow systems. Preferred Competencies Ability to work independently and
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media, news media, digital signage, podcast, signature events, and executive presentations. This candidate must be comfortable managing multiple projects in parallel, many of which require the execution
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variety of conditions, in particular seeking evidence for Fermi acceleration of electrons under low-to-moderate guide magnetic field and parallel electric field energization under large guide magnetic field
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application development in R and Python Experience with parallel computing Author or co-author of peer-reviewed literature publications Applicants cannot have received their Ph.D. more than five years before
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distinct individuals with varied interests, needs, and abilities. Salary based on course contract. Campus varies. Minimum Qualifications University Parallel: Master’s degree in the discipline or subfield in
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the core facility High degree of independence and leadership involving multiple parallel projects Exercise creativity and independent thinking to develop experironment, provide technical leadership and
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that combine parallel architectures (i.e., GPUs or accelerator boards, clusters) and numerical algorithms suited to such architectures with the goal of improving the speed of convergence and the stability