35 computer-algorithm-"Prof"-"Prof"-"Prof" positions at University of California Berkeley
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problems. ESPM is home to a top-ranked Ph.D. program in environmental science, environmental studies, and ecological/evolutionary biology. Our undergraduate students have a choice of vibrant majors that span
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understanding and develop solutions for the world's pressing environmental problems. Home to a top-ranked Ph.D. program in environmental science, environmental studies, and ecological/evolutionary biology, our
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timeline: Screening of applications begins immediately; some appointments may begin in Summer 2025. The number of positions varies from semester to semester, depending on the needs of the Program. Applicants
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such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists
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. Innovations in Screening and Computational Approaches: High-content and computational (AI/ML) methods to access expanded chemical space, including DNA-encoded libraries and mRNA display technologies. Human
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are members of the faculty of an academic or professional college, school, division, department, or program of the University whose primary responsibility is teaching and teaching-related tasks and secondary
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) or enrolled in a PhD (or equivalent international degree) program Additional qualifications (required at time of start) A PhD or equivalent international degree and record of published science. No more than 3
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/new-faculty Qualifications Basic qualifications (required at time of application) PhD (or equivalent international degree), or enrolled in PhD or equivalent international degree-granting program at
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summer sessions (6-10 weeks depending on session) with the possibility of reappointment based on program needs, funding availability and meritorious performance. Application Window Open date: June 27, 2025
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of state voting legislation for the Voting Laws Roundup. This work includes developing computational tools (e.g., using large language models, machine learning for text analysis and classification, etc