49 parallel-programming Postdoctoral positions at Pennsylvania State University in Ireland-University-Ranking-2024
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policy to advance interdisciplinary research initiatives. Contribute to the development of externally funded research programs by participating in proposal preparation and collaborative research efforts
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; Engineering; Humanities and Social Sciences; and Science); student residential living; a range of research programs and outreach centers; and a highly successful business and technology park. With 5,000
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-omics data are preferred. Demonstrated evidence of excellent programming, collaboration, and communication skills. Responsibilities: As a Postdoctoral Scholar, they will be involved in: reviewing
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linear models, network analysis, etc.) experience with culturing microorganisms (fungi and/or bacteria) experience with R and/or other programming languages familiarity with bioinformatics and modeling
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problems. Research experience with a track record of published work in relevant scientific journals. Excellent communication, teamwork, and problem-solving skills. Proficiency in programming languages
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clear orientation toward transdisciplinary collaboration. Proficiency in one or more relevant programming languages (e.g. R, Python, NCL, Julia, Fortran) and evidence of effective scholarly communication
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security Security policy, risk, and governance related to emerging technologies Candidates with interdisciplinary experience and an interest in building collaborative research programs are encouraged
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methods, risk and reliability, stochastic control processes, dynamic programing, deep reinforcement learning. Strong track record in scientific contributions supported by peer-reviewed publications. Strong
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control is not viable. The program develops and validates diagnostics, vaccines, and surveillance tools intended for national deployment, working in close partnership with government, academic, and
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SPECIFICS The Ferrari lab at Penn State is seeking up to two Postdoctoral Scholars to work on computational and mathematical models of surveillance to guide vaccination programs to achieve and maintain