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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 6 hours ago
will be leading a program of work focused on designing, implementing, and evaluating intervention strategies that strengthen health systems responses to violence in Canada. For more information, please
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We are seeking for a full-time Postdoctoral Fellow to work on projects in the area of household finance, investment, and financial literacy. The project is part of a large 5-year research program
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quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential Experience in applying computational methods to research
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topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety. Key Responsibilities: Manage own academic
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. Required Qualifications · PhD in Geophysics · Experience with land seismic acquisition, DAS, and time-lapse monitoring · Proficient in computer programming · Extensive publication and presentation record
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-management, and detail-oriented approach. Ability to adapt and navigate complex health systems and evolving health trends Expertise in data management and statistical programming, particularly with SAS, SQL
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evolving health trends Expertise in data management and statistical programming, particularly with SAS, SQL, STATA or R In-depth knowledge of research methodologies, systematic reviews, and syntheses Formal
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://www.uclahealth.org/departments/pathology/education/fellowship-programs/clinical-phd-programs/clinical-chemistry Qualifications Basic qualifications Qualified candidates must have completed a Ph.D or equivalent degree
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. Candidates should either hold a PhD in Computer Science, Information Technology, or a closely related field OR hold a PhD in any field in combination with strong computer programming and data visualization
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with NCI, CPRIT, and NIH-funded projects. Required Qualifications PhD in computational biology, bioinformatics, computer science, information science, biomedical engineering, or a related field. PhD must