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publications, conference presentations, and the supervision of junior researchers. Job requirements PhD in physics, biomedical engineering, electrical engineering, medical physics, or a closely related field
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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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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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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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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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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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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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Job description Living systems process and respond to signals, and these responses range molecular or electrical changes inside a (neuronal) cell to macroscopic behavioural responses of animals
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in data processing, signal analysis, and programming (e.g. Python/Matlab) Demonstrated experience in publishing scientific journal papers Ability to work well independently as well as in a multi
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commercial spectroscopic sensor and gathering relevant fermentation data. The computational component involves signal processing and data analysis. As this project involves a different sensor technology than