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Field
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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Degree: Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (17 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) ORISE GO The ORISE GO mobile app helps
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The appointees will assist the project leader in the research project - “Research centre for non-invasive brain computer interface”. Qualifications For the post of Postdoctoral Fellow, applicants should have a
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approaches (e.g., using R, NetLogo, or similar) Working knowledge of ecological (especially landscape ecology) research methodology and biostatistics Computer proficiency, including use of statistical software
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, their fabrication and characterisation in order to be translated to industry with our partners. This includes laboratory experimentation, critical evaluation and interpretation, computer-based theoretical modelling
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Must be a U.S. Citizen Preferred Skills: Experience with MATLAB Familiarity with emerging technologies including instrumentation, computer modeling & simulation (e.g. Matlab, CFD, and/or other), and the
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large
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. · Other related duties as assigned. EDUCATION & EXPERIENCE Minimum Qualifications: Ph.D. in Biomedical Informatics, Computer Science, Data Science, Electrical & Computer Engineering, Applied Mathematics
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assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in
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other computer and data scientists, computational biologists, educationists and technologists. There are ample opportunities for various cross-domain ventures. Key Responsibilities: Deliver international