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development, spin simulations, or MR signal modeling is highly desirable. Strong programming skills, for example in Python, MATLAB, C/C++, or a comparable scientific computing environment. Experience with
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related technologies can support explanation in situated conversational settings. We view explanation not as a static output, but as an interactive process that evolves through human-human and human-AI
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low-power mixed-signal ICs for large sensor arrays. Your work may include low-noise analogue front-ends, high-resolution and energy-efficient ADCs, and local data processing and multiplexing. You will
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(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual
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novel methods for multi-aperture ultrasound acquisition, ultrasound-based probe localisation, and (adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal
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using onboard IMU signals Run a pilot home-testing study on continuous gait monitoring, assessing feasibility for future large-scale use You will translate this into a research plan aimed at peer-reviewed
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and validate its accuracy against previous benchmarks for small molecules like PtH. This approach is general and can be directly combined with EOM-CC embedded in point charges, or in periodic DFT
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, followed by initial patient testing Develop adaptable FES control using onboard IMU signals Run a pilot home-testing study on continuous gait monitoring, assessing feasibility for future large-scale use You
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to investigate the spin dynamics of magnetic adsorbates. By using pbcEOM-CC states, this approach will surpass standard strategies that either neglect the environment or oversimplify it using point-charge models
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and validate its accuracy against previous benchmarks for small molecules like PtH. This approach is general and can be directly combined with EOM-CC embedded in point charges, or in periodic DFT