24 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Colorado
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to implement advanced computational pipelines, including machine learning, deep learning, Bayesian inference, and probabilistic mixed membership modeling for innovative research. · Contribute
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! The University of Colorado offers an excellent benefits package including: Medical: Multiple plan options Dental: Multiple plan options Additional Insurance: Disability, Life, Vision Retirement 401(a
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#37507 Job Summary: A full-time POSTDOCTORAL POSITION for a PhD, MD, or MD/PhD is available in the laboratory of Kristi Kuhn, MD, PhD, Professor in the Division of Rheumatology at the University
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minimum qualifications at the time of hire. PhD in Computer Science, Artificial Intelligence, Human-computer Interaction, Computational Linguistics, Machine learning, Biomedical Informatics, or related
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molecular biology techniques Experience in standard computer software related to writing, data analysis, and data presentation. Condition of Employment: Willingness to conduct in vivo experiments in mouse
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, preferably lightsheet, confocal, dissecting. Ability to work both in a team environment and independently. Excellent organizational and record-keeping skills. Computer skills in both Mac and PC environments
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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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for Equal Work Act, UCCS does not discriminate based on sex in our employment or compensation practices. Qualifications Qualifications The following qualifications are required: PhD in Computer Science with
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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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effectively with computer software including Microsoft Office. Skilled with the use of aseptic mammalian cell culture techniques. Skilled with common laboratory techniques and equipment consistent with PhD