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presentations). Evidence of their contributions to their current research communities. Track record of mentoring more junior scholars. Required Qualifications: PhD in computer science, electrical engineering
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for a researcher who’s motivated by improving systems: how clinicians work together, how decisions are made under pressure, and how technology can support (rather than hinder) the people who care for
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scientific research on computational linguistics, machine learning, practical applications of human language technology, and interdisciplinary work in computational social science and cognitive science. The
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Posted on Wed, 08/07/2024 - 14:53 Important Info Faculty Sponsor (Last, First Name): Boehm, Alexandria Stanford Departments and Centers: Civil and Environ Engineering Oceans Postdoc Appointment Term
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics, biomedical data science, biomedical engineering, computer science, electrical engineering, statistics
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technology. The successful candidate will contribute to projects focused on gene therapy applications and the development of innovative viral delivery systems for therapeutic interventions, and genetic
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spatial genomics experiments is a plus but not necessary. Experience in carrying out independent and collaborative research. Proven experience with protocol development, software development, computational
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world to develop knowledge necessary to realize that vision. We look for the brightest minds in the natural sciences, engineering, materials science, policy, economics, and business who are interested in tackling
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, psychiatry, developmental psychopathology, neuroimaging research (MRI, fNIRS), engineering, computer science, or related fields. Required Qualifications: Doctoral degree (PhD, MD, or equivalent) conferred by
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: Familiarity with (NGS related) software tools and packages such as bwa, STAR, bedtools, samtools, Picard, RSEM, GISTIC, GATK, Strelka, Seurat Prior experience in analyzing spatial transcriptomic data. Prior