8 machine-learning-phd Fellowship research jobs at University of British Columbia in Canada
-
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]
-
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
-
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
-
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
-
: 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
-
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
-
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
-
compound extraction and purification from various systems (desirable) HPLC, LC-MS, GC-MS, TLC skills (desirable) Good basic bioinformatic and general computer skills, and proven ability to learn and apply