Doktorand i maskininlärning
Core
Developing new methods for uncertainty quantification in mathematical and statistical models applied to large-scale clinical cancer data.
Role type
PhD researcher (Data-driven precision medicine and diagnostics)
Builds
Probabilistic models predicting time-to-event based on medical reports and clinical data
Domain
Data science, applied mathematics, statistics, oncology
Deliverable
production ML models
Required skills
linear algebra, probability theory, analysis, programming, applied mathematics, statistics
Preferred skills
Bayesian statistics, mathematical modeling, statistical machine learning
Responsibilities
Conduct independent research on uncertainty quantification methods, apply methods to clinical cancer data, quantify uncertainty in information extracted from medical reports
Seniority
PhD candidate (early career researcher)
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