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platform integrating advanced robotics, materials characterization systems, digital twins and AI-based decision-making algorithms for accelerated research. The platform will incorporate explainable AI
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Centers: Stanford Institute for Materials and Energy Sciences (SIMES) Postdoc Appointment Term: Two years Appointment Start Date: July 1, 2026 Group or Departmental Website: https
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in the Phi_Lab, led by Dr. Azeem Ahmad, and will focus on the development of advanced reconstruction algorithms and next-generation quantitative optical microscopy and tomography systems for imaging
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 3 months ago
employment. Starting date: 01.03.2026 Job description:PhD Student (f/m/d) in Quantum Algorithms for Fluid and Environmental Flow Modelling With cutting-edge research in the fields of ENERGY, HEALTH and MATTER
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 3 months ago
Job description:Postdoc (f/m/d) in Quantum Algorithms for Fluid and Environmental Flow Modelling With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Les estimateurs sécurisés sont des algorithmes qui exploitent la
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Artificial Intelligence (AI) related fields
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their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? We are looking for a recognised business development
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artificial intelligence and control systems. In this project, you will design new algorithms for semantic communication between the cloud and autonomous systems—technology that can transform how robots, drones
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reinforcement learning Enhancing transparency and contestability of decision-making processes, taking a multimodal approach to reveal the reasoning behind complex AI-driven planning and learning algorithms