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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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learning algorithms for a variety of predictive analytics research projects. Coordinates data collection, econometric analysis and provides quality assurance for research projects. Contributes to research
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responsible for teaching six courses over the academic year in introductory programming, algorithms, machine learning, or systems depending on the candidates’ qualifications and programmatic need. In
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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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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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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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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