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and establishing priorities. Knowledge – Skills – Abilities Required knowledge: biology, chemistry, mathematics, statistics, documentation, records management, data analysis and utilization, complex
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well as omics data generation and analysis will be considered as important assets Strong drive for experimental work, including the handling of model organisms, and a high curiosity to decipher disease mechanisms
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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record in theoretical and/or computational mechanics Knowledge, Skills, and Abilities Excellent analytical and mathematical skills Proficiency in numerical analysis using finite element method (FEM
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Sciences | College Administration Natural and Mathematical Sciences The Post Doctoral Scholar will play a key role in advancing interdisciplinary research in STEM higher education to evaluate student
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. The candidate should have excellent grades from the bachelor and master level courses in mathematics and mechanics as well as appropriate skills in programming and finite element analysis . Proficiency in
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mathematics and engineering. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit and state
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of Measure Theory and Functional Analysis is appreciated. Submission Documents (to be sent via email to amedeo.esposito@oist.jp) Cover letter (English) Curriculum vitae (English) Research Statement (English
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models. Developing mathematical analysis to bound the trade-off between performance, energy efficiency and time especially in the context of large AI models. Contribute to the research and development
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of information processing), and formal epistemology (in particular, formal representations of inattentiveness and unawareness). This project will involve philosophical / linguistic analysis, experiments with human