-
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
-
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
-
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
-
(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual
-
novel methods for multi-aperture ultrasound acquisition, ultrasound-based probe localisation, and (adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal
-
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
-
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
-
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
-
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
-
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