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fulfilling careers within cardiovascular research. It fosters the development of PhD and physician investigators who require rigorous formal training to translate basic and clinical research to the clinical
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consult with our multi-disciplinary team of scientists, developers, and clinicians. Write manuscripts to summarize the research findings Be an expert on the latest machine learning techniques, methods, and
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path to improved human well-being and flourishing, and not catastrophe? Existing approaches to alignment, such as RLHF, constitutional AI and social choice methods, focus on eliciting human preferences
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machine learning models with respect to accuracy and uncertainty quantification. - Developing software to implement the goals stated above (most likely in Python). - Disseminating results
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procedures and processes; Mentoring trainees working on the project in study design, research methods, scientific writing, and team science. Required Qualifications* PhD in epidemiology, statistics
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scalable systems of design and analytic planning methods to make tangible and systemic impact, and to explore the risks and potentials of emerging technological capabilities such artificial intelligence
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of sedimentology, geochemistry, and microbiology, and general use of destructive, extraction-based methods that are designed for the analysis of large sediment samples. These bulk methods are quantitative but
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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
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others. Prepare maps of CSAF composition across the sample(s) surface. Use scanning electron microscopy (SEM) methods to prepare maps of CSAF surface morphology. Maintain the ultra-high vacuum equipment
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. Travis Mallard (Massachusetts General Hospital & Harvard Medical School). Both are interdisciplinary projects integrating theory and methods from developmental psychology and quantitative genomics