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research assistant support, an annual allocation of funds to support travel and research, a shared computer cluster for parallel computation, a grants office, and several internal research funding
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cancer organoids from Black male patients. The project will seek to characterise the viability of organoids in response to standard of care chemotherapy and novel agents. In parallel the project will seek
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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laboratory and database administration. Experience with processing data from massively parallel DNA sequencers, computation on high performance compute clusters, using open source database management systems
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skills in a retail environment that parallels the functions of this position. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background
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). Preferred Qualifications: Familiarity with advanced storage solutions and parallel file systems (e.g., Lustre, GPFS, or BeeGFS). Advanced knowledge of Linux operating systems, networked storage environments
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Department GENERAL DESCRIPTION Conduct further research on the NSF funded project “Enabling Extremely Fine-grained Parallelism on Modern Many-core Architectures”. Benefits Our commitment to employee well-being
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platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit
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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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chemistry, with experience planning and troubleshooting synthetic routes and performing parallel library synthesis. The ideal candidate should have experiences with one or more of the following: working with