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behavioral paradigms and combined with computational approaches. We are seeking an extremely motivated postdoctoral researcher with background in human or monkey electrophysiology. Studies will include
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in these languages Familiarity with computational techniques of high performance massive parallel computing in Linux Environment e.g., on the basis of the Message Passing Interface (MPI) Ability
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Computer Science, Computational Science, Applied Mathematics, or a related field. Experience in scientific visualization, computer graphics, or advanced rendering. Strong background in HPC, parallel computing, and
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completed within the last 5 years in computer science, data science or a discipline related to the job duties. Experience in parallel computing. Experience with storage systems. Previous research experience
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Scholar/Fellow positions is to provide individuals, who have recently (within the past 6 years) completed a doctoral degree, with a full-time program of advanced academic preparation and research training
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experience in intensive and parallel computing (Fortran, C, C++, Python). Applicants with a previous background in at least one of the following techniques, • Quantum Monte Carlo (either DQMC, PQMC, DCA, SSE
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parallel/GPU computing. Job Duties Job Duty Doing research problems in the area of mathematical foundations of data science and machine learning. The postdoc will assist with ongoing research projects
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them on massively parallel computers ? CPU, GPU, and APU systems. The successful candidate will work with Prof. Uri Shumlak and Prof. Jingwei Hu and contribute to a project that combines novel low-rank
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sets and backgrounds are therefore also critical. Additional desired skills include the following: experience using ROMS; familiarity with parallel computing and high-performance computing environments
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#, FORTRAN, Perl, Python) as well as parallel computing; Ability to work effectively in a team environment with a multidisciplinary group of scientists Ability to conduct research with limited supervision Good