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Field
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Primary Duties & Responsibilities: Assists research studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic
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processes. A proven ability to communicate with academic and industrial partners both in speaking and in writing. Ability to manage own workload and to work on multiple tasks in parallel. Research Assistant
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of vector query processing, serverless/just-in-time query execution, parallel and distributed data management, and data management systems on emerging hardware Passionate about inventing, building, and
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) and experimental work (molecular cloning, mammalian cell culture, and/of fluorescence imaging). Successful candidates should be exceptionally well organized, enjoy managing several tasks in parallel
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. Major responsibilites: The candidate will work independently to purify recombinant IDR constructs and label them for F19-NMR analysis. In parallel, the candidate will use Python for bioinformatics
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disciplines; the prominence of chaos theory in the 1970s and 1980s; and its longer-term methodological and conceptual impact. The historical research is intended not simply as a parallel study, but as a source
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed programming, GPU programming) Astrophysical fluid dynamics and/or magnetohydrodynamics Radiative transfer in
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University has a policy of parallel language use. International staff are encouraged, with support from the university, to learn Danish during their employment in order to support their integration
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surrogate models, physics-informed neural networks, uncertainty quantification, or digital-twin development. High-performance computing and parallel numerical workflows. Terms of Appointment This is a full