11 condition-monitoring-machine-learning Postdoctoral positions at University of Colorado
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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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, 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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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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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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: Postdoctoral Fellow/Trainee Position #00669400 – Requisition #36537 Job Summary: This position includes laboratory-based translational research on mechanistic studies into chimeric antigen receptor (CAR
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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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offers a diverse and inclusive learning environment that fosters innovation, growth, and the holistic development of its students. The work location for this position is on-site. This position is Exempt
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regulations Excellent written, verbal, and oral communication skills Ability to interpret and master complex research protocol information Highly motivated, eager to learn, taking initiative and excellent
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addition to understanding normal function, we are interested in degenerative neurological conditions leading to alterations in visual processing. Supervision Received Guidance and mentorship are provided by Drs. Gidon Felsen
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of research protocols, including Institutional Review Board applications, modifications, and status reports; developing and maintaining adherence to research protocols, standard operating procedures, and