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Computer Visualization, Natural Language Processing, and Bayesian Inference. Selected candidates will be appointed as Adjunct Assistant Professor, Adjunct Associate Professor, or Adjunct Professor, depending
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team to identify, report, and help resolve technical issues. Track and share patterns or recurring concerns that may indicate broader system issues. Work closely with the Technology & User Support Lead
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support team to identify, report, and help resolve technical issues. Track and share patterns or recurring concerns that may indicate broader system issues. Work closely with the Technology & User Support
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of associate professor on the School of Medicine track with expertise in causal inference and its applications in public health and clinical research. The appointee is expected to play key roles in research
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on qualifications. Appointments will be made in the Data Science Institute. The appointment will be for a term of up to five years, renewable. This is a career-track position with potential progression, competitive
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engineering, scalable data systems, and high-dimensional statistical inference. We encourage applications from all researchers focused on developing the foundations and practice of Data Science as an emerging
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applications for tenure-track faculty positions at the rank of Assistant Professor in the area of Data Science. Appointments may be made in either the Department of Computer Science or the Department
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. Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and statistical inference. Provides expertise for high level or
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reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference. Serves as a single point of contact for all requests and engages other IT resources
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data processing pipelines using expertise of best practices in machine learning and statistical inference. Provides expertise for high level or complex data-related requests and engages other IT