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Field
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance computing
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
Description The SHORES Center at New York University Abu Dhabi (NYUAD) invites applications for a Postdoctoral Associate position in the area of Digital Twins and Artificial Intelligence (AI
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Prof Max Roser. This pioneering programme aims to understand and predict how technologies evolve — from artificial intelligence to net-zero innovations in energy, transport, and carbon capture. By
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– Organ-on-Chip Technologies (Prof. Guenat) Institute of Pharmacology – Bourquin Lab We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial
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management platforms, contributing to the deployment of smart UAV demonstrators under industrial conditions. Keywords: Artificial intelligence, autonomy, digital twin, edge computing, UAV systems. Objectives
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industrial partner, you will design and implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine
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QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Computer Science, Automation, Artificial Intelligence, Operations Research, or a related field. Solid research background and practical
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Model, including effective field theories and perturbative QCD, phenomenology at current and future colliders, as well as emerging areas in Artificial Intelligence, Machine Learning, Quantum Information
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assurance. AI for automatic tolerance specification – developing methods to automatically generate locating schemes and tolerance types, guided by established tolerancing principles and powered by artificial
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models to design and optimize the properties of materials. Conduct