993 proof-checking-postdoc-computer-science-logic positions at The University of Chicago
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. At Booth, they constantly question and test ideas, and seek proof. This extraordinarily effective approach to business leads to new ideas and innovative solutions. Seven of the Booth faculty members have won
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. Certifications: --- Preferred Qualifications Education: Advanced degree in Biology, Bioinformatics, Computer Science, or a related technical area with high preference on PhD in Biology, Bioinformatics
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culture. At Booth, they constantly question and test ideas, and seek proof. This extraordinarily effective approach to business leads to new ideas and innovative solutions. Seven of the Booth faculty
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resolving discrepancies. Partners with the Social Sciences Division’s Local Business Center (LBC) to execute financial transactions, procurement, and reimbursements while ensuring adherence to policy and
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of the University of Chicago Medicine. This position will support the Gender Affirmation program and ambulatory practice in the Hyde Park and UChicago Medicine offsite practices. Responsibilities Provides surgical
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. At Booth, they constantly question and test ideas, and seek proof. This extraordinarily effective approach to business leads to new ideas and innovative solutions. Seven of the Booth faculty members have won
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of TMW interventions; harnessing technology to support behavior change, intervention engagement, and analysis; and furthering strategies to engage adult caregivers (parents, early educators and others) in
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biology and genomics, bioinformatics and computational biology. Job Summary The Zhou lab is seeking a Staff Scientist to lead the analysis and interpretation of genomic sequences and large-scale biological
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experience in higher education. Technical Skills or Knowledge: High level of computer application skills including MS Excel, Word, and PowerPoint. Preferred Competencies Self-starter, able to successfully
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of malignancies, blood disorders, and experimental therapies. Job Summary The Data Scientist will lead data science research efforts within breast cancer program in the Section of Hematology/Oncology in