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Field
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measuring MEMS devices, as well as designing feedback loops and control algorithms for their precise operation Experience using software tools to simulate the physical properties and behavior of MEMS
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and complex system simulations develop, implement, test, and benchmark computational models, algorithms, data pipelines, and research software prototypes contribute to optimisation, simulation, sampling
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analytical skills. Knowledge about statistical machine learning, robotic perception, multimodal AI algorithms. Proven experience with reinforcement learning algorithms and implementations. Experience in
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theory, algorithms, and experiments on multimode mechanical quantum platforms (circuit quantum acoustodynamics with transmon–HBAR devices; HBAR arrays; microwave optomechanics). The postdoc will work
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to complex ecological networks design and implement novel coordinate-independent numerical algorithms utilising automatic differentiation and pseudo-arclength continuation methods to identify contact points
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modeling and simulation • Development in Finite element and alternative discretization methods (e.g. Lattice Boltzmann methods) • High-dimensional algorithms and high-performance computing
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publication records will be preferred. Experience in matlab, MEEP, RCWA and other softwares and algorithms. Excellent publication track records. Good understanding of nonlinear and quantum optics. Strong
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, algorithms, data pipelines, and research software prototypes contribute to optimisation, simulation, sampling, or uncertainty-modelling approaches for complex systems analyse infrastructure, spatial, temporal
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algorithms. Alliance Liaison Act as CUT’s liaison for WP9 (Communication & Dissemination), coordinating an editorial calendar and collecting content inputs from partner communication teams. Contribute to WP9
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of accomplishments (e.g., peer-reviewed publications and/or patents). Key Responsibilities & Accountabilities: Algorithm Development, Data Analysis and Communication: Effectively design, implement, and evaluate