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Posting Details Posting Details Posting Number S06553P Position Title Software Engineer II Functional Title High Performance Computing Software Engineer II Department High Performance Computing
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method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
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requirements. In parallel there’s been an expansion of AI-driven structural biology (e.g. Alphafold, prediction of disease mutations, prediction of molecular interactions). These projects require specialist
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computing clusters, parallel processing, and data pipelining. Strong analytical and statistical background, with the capability to interpret complex biomedical data accurately. Direct experience handling and
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Strong foundation in CFD, Programming proficiency such as Python, AI/ML techniques, Experience with parallel computing on CPU/GPU cluster, use of CUDA, MPI is a plus. Experience Experience with open-source
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or field including associated analysis possibly involving statistical or data analytical software. Work across teams and projects, often on a number of parallel and competing tasks. Work with discretion
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will work part-time in parallel with their studies at Rutgers. Among the key duties of this position are the following: Perform psychophysical experiments with sighted participants and/or low vision
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design. This position plays a key role in cultivating and expanding the Arcus Fellowship program at the College of Environmental Design (CED), helping build a dynamic network of current Arcus Fellows and
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materials technologies. We focus on the unique physical properties and disruptive application potential of two-dimensional materials, leverage intelligent materials design and multi-scale computational
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to effectively parallelize code, in addition to proficiency in Python and general software engineering skills. Improve software quality for non-functional requirements, such as readability and performance