35 quantum-physics-"https:"-"https:"-"Embry-Riddle-Aeronautical-University" positions at UNIVERSITY OF SOUTHAMPTON
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engineering, materials science, and microbiology. About you You will hold a PhD in Computational Chemistry, Chemical Physics, Materials Science, Biophysics, Computational Biology, Biomedical Engineering, or a
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STAG Research Centre, which encompasses scientists from Maths and Physics at the interface of string theory, quantum field theory, gravity and astrophysics. Applicants’ profile Applicants should have a
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Growth of Functional 1D and 2D Metal Dichalcogenide Semiconductors) Programme Grant recently announced by the UK Engineering and Physical Sciences Research Council (EPSRC). EXPRESS is a large (£10M
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Precursors for the Electrochemical Growth of Functional 1D and 2D Metal Dichalcogenide Semiconductors) Programme Grant recently announced by the UK Engineering and Physical Sciences Research Council (EPSRC
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-on experience with cutting-edge physical-vapour-deposition fabrication techniques, lasers, and honing your practical skills explore: help develop a deeper understanding of how to produce a high-quality REDS
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the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced
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datasets. Candidate requirements Essential: PhD (or near completion) or equivalent qualifications and experience in Acoustics, Mechanical Engineering, Physics, Signal Processing or a closely related
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, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation
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You will join our team at the Optoelectronics Research Centre and work on the Engineering and Physical Sciences Research Council funded project HyMeta: Hyperuniform Disordered Metasurfaces
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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable