843 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at The University of Chicago
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include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline
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Hematology/Oncology program. This position is responsible for the comprehensive management of patients undergoing stem cell transplant and other hematologic/oncologic conditions on the inpatient unit. Develops
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research in computational biology, single-cell ‘omics-based and multimodal machine learning (ML), and, for the candidate with appropriate skills, quantum computing algorithms and software for applications in
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weather events and align closely with established physical climate principles and AI theory. Contribute to algorithm development and foundational model design for innovative AI weather and climate
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generation sequencing (NGS) assay development and validation efforts as well as involvement in a variety of NGS-related translational research projects. The Sr. Bioinformatician will also assist in preparing
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of common healthcare related coding systems (ICD9/10, CPT, LOINC, RxNORM). Advanced knowledge of machine learning techniques and algorithms. Experience developing, debugging and testing reproducible and
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of research, including data collection, model development, and implementation. This position requires an individual who is able to work as part of small research teams, and on multiple projects concurrently
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responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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of library experts committed to supporting open scholarship and will provide leadership in developing AI-focused services and resources. The successful candidate will collaborate with faculty
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with the goal of better understanding how places impact people. We develop machine-learning algorithms and non-linear measure of brain dynamics to quantify more vs. less effortful brain states. This is