12 machine-learning-phd Fellowship positions at University of British Columbia in Canada
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with biological specimens Experience with artificial intelligence and machine learning analytical methods How to Apply Submit application package as a single document to: [email protected]
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analysis, trial emulation, interrupted time series, machine learning) is highly desired Have a strong publication record in reputable, peer-review journals Excellent oral and written communication skills
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analysis, trial emulation, interrupted time series, machine learning) is highly desired Have a strong publication record in reputable, peer-review journals Excellent oral and written communication skills
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strong quantitative skills, familiarity with computer programming, and documented organizational abilities. An excellent publication records is desirable, as well as a willingness to learn about large
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also looks to leverage large amounts of monitored data to develop machine learning models that would aid in tighter control of the water treatment processes. The developed models will focus on reducing
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, TLC skills (desirable) Good basic bioinformatic and general computer skills (PyMOL, Chimera, AlphaFold, DiffDock, Graphpad Prism), and proven ability to learn and apply new skills (essential) Excellent
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: Single-cell RNA-seq, perturb-seq, and/or other transcriptomic analysis Next generation sequencing and bioinformatics analysis Machine learning/AI Analyzing data and presenting the data in reports
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Next generation sequencing and bioinformatics analysis Machine learning/AI Analyzing data and presenting the data in reports, publications, and presentations at local and international conferences
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Cognitive Sciences Health Research Human-Computer Interaction Machine Learning Machine Perception, Speech Technology and Computer Vision Mobile Computing Natural Language Processing (including Information
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a PhD in Electrical Engineering, Computer Engineering, or a related field, with expertise connected to the jobs summary. Preference will be given to candidates with experience in combining theoretical