37 power-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Pennsylvania State University
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-reviewed publications. Demonstrated ability to independently design, execute, troubleshoot, analyze, and interpret complex research studies. Experience leading or coordinating scientific projects and
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, strong scientific writing and communication skills, and the ability to design and conduct research both independently and collaboratively in a multidisciplinary environment. Interested candidates should
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, observational data via a CRM) · Contribute to the development of analytic plans for grants and publications · Support analytic needs for grant writing and reporting (e.g., power analyses; interim
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Department of Electrical Engineering at Penn State is seeking a Postdoctoral Scholar. The successful candidate will work on Phased Arrays and Power
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standard molecular and biochemical techniques. • Experience with fluorescence microscopy and quantitative analysis of microscopy data. • Evidence of scientific productivity and the ability
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-Band) and associated Power Converters. The postdoctoral scholar is expected to work in a highly collaborative environment in which electrical engineers, mechanical engineers, material/data scientists
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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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analytical or computational models and simulations. An ability to conduct research and produce scholarly outputs as demonstrated through publications in peer-reviewed journals. Familiarity is expected with
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the ability to conduct research and produce scholarly outputs as evidenced by a strong record of peer-reviewed publications. Experience working with large-scale biological datasets is highly desirable