49 parallel-programming Postdoctoral positions at Pennsylvania State University in Ireland-University-Ranking-2024
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with research interests in courts or sentencing and with a knowledge of, or practical experience with, program evaluation. Key responsibilities of the Postdoctoral Scholar will include collaborating with
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, engineering, or a closely related quantitative field. Strong programming skills in at least one major scientific computing language such as R, Python, C++, or a similar language. Ability to conduct independent
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to the start date. Demonstrated experience with scientific Python programming (e.g., NumPy, Xarray, Matplotlib, Pandas, Dask). Experience with version control (e.g., Git/GitHub) and collaborative software
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interests and career plan planned research during the postdoctoral period proposed postdoctoral faculty mentor(s) at Penn State selected from the following list: https://demography.psu.edu/faculty-by
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, or engineering by the start date of employment. Strong expertise in one or more of the fields of scientific computing, data science, and quantum computing accompanied by strong programming skills are essential
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scheduled to receive, a Ph.D. in an area broadly relevant to our research program by the time employment starts. The individual should be highly self-motivated and is expected to lead their own individual
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highly collaborative team and translational research programs focused on mucosal biology, aging, infectious diseases, and cancer-associated tissue remodeling. Our laboratories integrate molecular, cellular
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Qualifications: Experience analyzing oral microbiome datasets (16S, shotgun metagenomics, or metatranscriptomics). Advanced programming and data science skills in R, Python, or other relevant languages
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intentions and career plan. This document must be composed of three sections: 3.1) Background: Expertise and skills gained. 3.2) Research Interests: Research intentions and goals for the postdoctoral role and
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career plan. Upload as Name_SURNAME_SOP.pdf . This document must be composed of three sections: 3.1) Background: Expertise and skills. 3.2) Research Interests: Research intentions and goals