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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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fellowship program that welcomes national and international students, artists, and scholars, providing them with the space, funding, time, and community to produce transformative research outcomes. Job Summary
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guidance for computational modeling of the data Publish research in peer-reviewed journals and present work at scientific conferences aligned with business objectives Demonstrate a high degree of
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one from your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published
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comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment
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educational and research opportunities. This includes participating in relevant committees, conferences, and professional activities. Primary goal is to ensure that the program provides high-quality education
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teams. The Opportunity: Opportunity to work closely with computational colleagues to analyze, evaluate, and perform integrative computational analyses. Leverage multimodal high dimensional data to explore
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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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-high-throughput screening, and structural biophysics. We are looking for a postdoctoral scientist who will work at the crossover of chemistry, biology, and engineering to advance these technologies from
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for high dimensional data PhD degree or higher in computer science, biomedical informatics, statistics, computational biology, or a related field; Strong programming skills in one of the traditional