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have earned a PhD degree by the time of appointment, or shortly thereafter. Alternatively, applicants must have a Master’s degree with at least five (5) years of teaching experience. Relevant fields
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on Wednesdays and Fridays 11:35-12:55 and labs Mondays 15:35-17:25. This course includes an Introduction to problem-solving methods and algorithm development. Emphasis is on designing, coding, debugging, and
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learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
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Nature Careers | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
. Applicants with a PhD or equivalent with an exceptional emerging research program in biomedical data science with application in precision medicine will be considered for this CRC position. The ideal candidate
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
aging, vaccines, molecular biology, and immunology and immunotherapies. Applicants with a PhD or equivalent with an exceptional emerging research program in biomedical data science with application in
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in their cover letter. Tier 2 Chairs are intended for exceptional emerging scholars. Nominees should be within ten years of receiving their PhD or terminal degree in their field. Applicants who
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Studies (PhD) Teaching in the age of algorithms: Resisting the algorithmic order through co-created sociotechnical experiments View All Stories Further Information Allocations Funding will be allocated
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Citizenship Canadian Permanent Resident International Degree Level Doctoral The Google PhD Fellowship Program was created to recognize outstanding PhD graduate students doing exceptional work in computer
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procedures (e.g., multilevel modeling, longitudinal data analysis, machine learning algorithms), cleaning and structuring large datasets, validating model assumptions, and ensuring reproducibility. Synthesizes
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promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks