8 computational-material-science Postdoctoral positions at University of California, Merced
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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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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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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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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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molecular biology. This research opportunity will be focused primarily on developing tightly integrated sequencing experiments and computational algorithms to characterize biomolecular interactions with high
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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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involved in related research projects. Qualifications Basic qualifications A Doctoral degree (or equivalent) in computer science, computer engineering, electrical engineering, or a related field. Additional
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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