11 algorithm-development-"Multiple"-"Prof"-"Simons-Foundation"-"Embry-Riddle-Aeronautical-University" positions at The University of Chicago
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responsibilities will span all stages of research, including collecting data in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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research group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group
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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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intelligence is preferred in candidates applying for this position. Responsibilities Design, develop, test, and debug complex software programs. Implement and optimize algorithms (ML + AI) for data-intensive
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, with software development experience in multiple programming languages, including Python and R. Next generation sequencing bioinformatics knowledge, preferentially with previous cancer and clinical
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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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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 Chicago Law School. 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
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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