17 python Postdoctoral research jobs at Pennsylvania State University in postdoctoral
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Stochastic Processes. Expertise in numerical simulations (with Matlab or Python) as well as basic knowledge of neural nets will be valued but not required. Additional Information Applicants must complete
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role in both the scientific application and open-source software development of UXarray, a Python package that extends Xarray to provide native support for horizontally unstructured computational meshes
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, such as Python or Fortran. Experiences with machine learning is a plus to the application. Solid understanding of the physical hydrologic cycle and large-scale geographic datasets. The Pennsylvania State
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computational analysis of molecular and cellular biology data. Expertise in Python and/or R. A demonstrated ability to conduct independent research as demonstrated through a strong track-record of peer-reviewed
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. Expertise in Python is expected. A demonstrated ability to conduct research and produce scholarly outputs, as evidenced by publications in peer-reviewed journals. Familiarity with molecular and cellular
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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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should have experience developing, implementing, or applying computational methods to large-scale biological datasets. Expertise in Python and/or R is expected. Experience with biological data processing
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computational analysis of proteomics data is highly desirable. Experience with Python, R, or related scientific computing tools; proteomics software platforms; biological databases; data repositories
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, implementing, or applying analytical or computational models to molecular and cellular systems. Expertise in Python, R, MATLAB, or related scientific computing tools is desirable. The successful candidate should
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. Preferred Experience in genomic data analysis, computational biology, statistical genetics, or functional genomics. Proficiency in R, Python, Linux/Unix, and high-performance computing environments