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to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications
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Candidates must have a PhD and proven research experience in computationalanalyses, statistics, mathematical modeling, or engineering. Prior experience inophthalmology research is not required. Preferences
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, including industrial engagement and project planning. Essential Criteria A degree in Engineering or a related subject. A completed (or near-completion) doctorate (PhD or EngD), or equivalent industry
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of contract research for both veterinary and human biomedical companies. A key focus lies in the execution of preclinical and clinical studies in viral infection models, aimed at evaluating the efficacy
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on software, statistics, and research methods Compile and organize links to online statistical and research methods resources for trainees and faculty researchers Required Qualifications PhD by time of
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of contract research for both veterinary and human biomedical companies. A key focus lies in the execution of preclinical and clinical studies in viral infection models, aimed at evaluating the efficacy
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
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universities in the nation to offer BLA, MLA and PhD degrees. The curriculum emphasizes understanding landscapes across multiple scales and contexts to support innovative design, critical thinking, and real
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/PhD Degree with a background in cardiac biology, neurobiology, bioengineering, or related field Experience · Interest and background in murine models required · Familiarity with histology, advanced
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and robustness of defenses and mitigations for AI systems, reverse engineering AI systems and models, and identifying new areas where security research is needed. We participate in communities