294 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at Stanford University
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Assistant Professor, Department of Environmental Social Sciences (Environmental Behavioral Sciences)
interested in applicants who could teach computational social science for sustainability. Candidates must possess a PhD, JD, or terminal degree in a field relevant to the search by the time of the appointment
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Assistant Professor, Department of Environmental Social Sciences (Environmental Behavioral Sciences)
movements, organizations/networks, collective action, political economy, population science. We are also interested in applicants who could teach computational social science for sustainability. Candidates
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, transcriptome sequencing, methylation assays, metabolomics, and/or lipidomics assays. State-of-the-art computational algorithms and new methods will be applied and developed to prioritize the variants and genes
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research and education and are proud of the outstanding students and staff who make this work possible. The Classics community is comprised of 18 tenure-line, academic council faculty, three lecturers, PhD
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research program and should possess good communication skills and a commitment to teaching and mentoring. The successful candidate must have a Ph.D. in a related field at the time of appointment and will be
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to do innovative research in the OIT field, to participate in the school's PhD program, and to teach both required and elective courses in the MBA program. Junior applicants should have or expect
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video environment and online distribution. Demonstrated ability to perform repairs on a wide variety of audio, visual and computer equipment. Ability to adapt equipment setup and provide alternative setup
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clinical trial portfolio centered on developing new oncology therapies focused on thoracic oncology malignancies, while managing a robust translational research program. We expect the successful candidate
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an ACGME-accredited program, and have medical licensure in California by the start date. We are particularly interested in candidates who have strong experience in clinical care and program building
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structures and market-competitive solutions. Manage total rewards program costs and annual spend against budget while maintaining engaging and rewarding programs to motivate and inspire. Support the annual