14 condition-monitoring-machine-learning Postdoctoral positions at University of Colorado
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, bioinformatics, signal processing, machine learning, and related fields are encouraged to apply. The fellow will play a key role in advancing the objectives of the R01, contributing to the development
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, bioinformatics, computational sciences, data science, machine learning, biostatistics, applied mathematics, computer science, or related fields. Preferred Qualifications: At least 3 years of experience in R
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recognized, peer-reviewed journal. Conditions of Employment: Candidate must be able to work with laboratory animals and animal tissues. Candidate must meet eligibility requirements for NIH T32 and F32
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Cell Biology A working knowledge of computer software for data analysis and presentation. Experience with animal modes Preferred Qualifications: Background in perinatal biology Knowledge, Skills, and
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single-cell transcriptomic data. The candidate should be proficient in, or highly motivated to learn cancer data science, machine learning, and high throughput sequencing analysis. Successful applicants
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Associates to join our team! UCCS offers a diverse and inclusive learning environment that fosters innovation, growth, and the holistic development of its students. At the base of the Rocky Mountains, Colorado
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at the time of hire. PhD in Computer Science, Artificial Intelligence, Computational Linguistics, Machine learning, Computer Engineering or related fields Preferred Qualifications: Experience in developing and
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early development of the placenta, and a basic understanding or willingness to learn bioinformatics is desired. The candidate should be proficient in, or highly motivated to learn complex 3D culture
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US permanent residency status or US citizenship. This is a training position and is not eligible to be used to obtain Employer sponsored US permanent residency status. Work Location: This role is
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: Postdoctoral Fellow/Trainee Position #00669400 – Requisition #36537 Job Summary: This position includes laboratory-based translational research on mechanistic studies into chimeric antigen receptor (CAR