11 proof-checking-postdoc-computer-science-logic Postdoctoral positions at University of California, Merced in United States
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chemistry or physics, or related area. Preferred qualifications The ideal candidate has experience running electronic structure calculations and has expertise with a variety of computational approaches
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PADSYS Lab's research. This will include working with the PI’s team to perform the planned research tasks, collect, and analyze the results, and present papers if accepted in some top computer science
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working on this and related projects. Qualifications Basic qualifications The applicant applying for the Postdoctoral Scholar must have a PhD degree in Mechanical Engineering. Excellent written and verbal
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excellent oral and written communication skills are required. Preferred qualifications The ideal candidate has experience in developing computational methods in the fields of theoretical chemistry/physics
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community-engaged and transdisciplinary research with a background in health, social, behavioral, and/or policy sciences and with experience in mixed methods and quantitative skills. The Scholar will conduct
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this date, but those received after the review date will only be considered if the position has not yet been filled. Position description The Mechanical Engineering department is looking for a qualified
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. Qualifications Basic qualifications Applicants are required to have a Ph.D. in Computer Engineering, Agricultural Engineering, Data Science or a related field. Additional qualifications Experience in one or more
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excellent opportunity to work in the development of external relationships and to engage in industry-university partnerships at the cutting edge of engineering, computer and data science, technology, natural
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working at the interface of engineering and biology. We study the hematopoietic and immune systems in vivo through development and application of novel imaging and sensing tools. For this project, we seek a
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molecular biology. This research opportunity will be focused primarily on developing tightly integrated sequencing experiments and computational algorithms to characterize biomolecular interactions with high