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field. Experience with uncertainty-aware simulation or familiarity with statistical tools is desirable but not strictly required. Strong candidates from physical climate modelling will be seriously
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
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learning theory to join the research team of Prof. Muhammad Umar B. Niazi. The position focuses on the design and implementation of incentive mechanisms for sociotechnical and cyber-physical-human systems
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 6 hours ago
high-impact scientific journals Essential skills and qualifications MSc and/or PhD qualifications in Chemistry, Physics, Materials Science, Computational Science, Engineering or a closely related field
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programmes: Chemistry; Physics; Electrical, Electronic & Computer Engineering; Chemical Engineering; Mechanical Engineering and Brewing & Distilling. In the 2019 National Student Survey Heriot-Watt University
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the research team of Prof. M. Umar B. Niazi. The position focuses on the development of digital twins using physics-informed learning approaches, with specific applications to intelligent transportation
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at the University of Ljubljana. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By
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shielding, radiation damage, particle transport. Computational skills allowing to compose or modify comprehensive simulation open-source codes. Experience in data analysis and simulations of complex and
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at the University of Ljubljana. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By