11 computer-science-data-warehouse Postdoctoral positions at University of California, Merced
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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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wildtype fungal structures or culturing and growing them in the lab. Perform characterization tests including imaging, mechanical, and chemical testing and subsequent analysis. Analyze data to create
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information about the Larsson group can be found at https://larsson-research.de/ . Some relevant publications are: Wahyutama, Larsson, J. Chem. Theory Comput., 2024, https://doi.org/10.1021/acs.jctc.4c01185
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requirements Curriculum Vitae - Your most recently updated C.V. Cover Letter Reference requirements 3-5 required (contact information only) a PhD. degree in Electrical or Mechanical Engineering Apply link
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for highly motivated candidates with strengths/interests in (a) soil science, physical geography, environmental engineering, ecology/ecosystem sciences, (b) data analysis, or (c) design and implementation
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qualifications Candidates should have training or experience with biomedical optics and intravital imaging. Experience with optical system design, circuit design, and computer programming will be particularly
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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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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