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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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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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-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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. 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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University of California, Los Angeles | Los Angeles, California | United States | about 15 hours ago
://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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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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experience, are establishing themselves as promising junior mathematicians, and are able to teach undergraduate and graduate courses independently. 4. Postdoctoral Fellows: Candidates are new PhDs in
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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