59 parallel-computing-numerical-methods-"https:" Postdoctoral positions at Pennsylvania State University
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plant pathogens in organic production systems through a multi-institutional USDA/OREI funded project. The Postdoctoral Scholar will conduct or coordinate research computational analysis and pattern
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SPECIFICS Postdoctoral Scholar Opportunity Grain Crop Production Laboratory - Department of Plant Science - Penn State University https://plantscience.psu.edu/research/labs/grain-production-lab Position
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skills in analytical chemistry method development (e.g., HPLC-MS/MS, GC-MS/MS). Interested applicants with a range of clinical and laboratory-based skills and doctoral degrees will be considered
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HSC Chemistry, JKSIMMet, or advanced modeling techniques like DEM (Discrete Element Method) and CFD (Computational Fluid Dynamics) is advantageous. Excellent communication skills, demonstrated research
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expected to collaborate with a faculty mentor and supervisor and graduate students. Applicants should preferably have research interests in applying computational methods (broadly defined) to one or more of
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will: Develop and utilize human iPSC-derived cardiomyocyte models. Apply genome-editing technologies, including CRISPR-based methods. Perform mechanistic studies integrating electrophysiology and
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years. More information on the benefits offered with this position can be found at https://hr.psu.edu/current-employee/benefits/post-doc-appts . To be considered for this position, submit a complete
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four academic years. More information on the benefits offered with this position can be found at https://hr.psu.edu/current-employee/benefits/post-doc-appts . To be considered for this position, submit a
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for this position include research and teaching. The Chowla program is designed to maximize the professional development of its participants and provides a research stipend. Initial offers will be made in January
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file (5MB max) that includes: a cover letter, a curriculum vitae, and the contact information for three professional references. Apply to job#0000068995 at http://www.psu.jobs . Review of applications