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learning algorithms. Specific Requirements An applicant for the scholarship is expected to possess: • Basic knowledge of plasma physics and fusion devices, in particular tokamaks. • Practical
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ARIA project Enforcing Safety in Cyber-Physical Systems via Proof Certificates, and focus on the design, development, and application of Safe RL algorithms as well as their verification via Proof
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Grade E.89 Posting Detail Information Position Summary The University at Buffalo School of Management’s Center for Supply Chain Analytics seeks a Postdoctoral Associate to join our team and develop a
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geometrical changes [Nat Commun. 16, 11388]. In this project you will push the boundaries of algorithm based reconstruction of nanoscale strongly scattering geometries from their radiation pattern. We seek
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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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will focus on enhancing efficiency, environmental sustainability, and safety in prefabricated construction. You will be responsible for: Develop simulation models by creating and validating advanced
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research on shipping and port operational optimization, maritime decarbonization, data analytics, and the development and application of novel methodologies (including LLM-based prediction and optimization
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(AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care