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- Delft University of Technology (TU Delft)
- European Space Agency
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- Delft University of Technology (TU Delft); Published yesterday
- Erasmus MC (University Medical Center Rotterdam)
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inputs with spatiotemporal patterns. The resulting neuronal responses (firing patterns) are highly non-linear due to the dynamic properties of dendritic signal processing. Investigating this input–output
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process We invite you to submit a complete application using the apply-button. The application should include a: Cover letter in which you describe your motivation and qualifications for the position
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accelerometers to measure the non-gravitational accelerations acting on each satellite, which, in the data processing, will be separated from those caused by the gravity signal. NGGM will make it possible
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of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, Earth system science, climate etc., with a thesis subject relevant
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Biomedical Engineering, Applied Physics, Electrical Engineering, or a related field (MSc for PhD candidates). Background in systems development and integration, ultrasound physics, and signal processing
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Cell identity relies on correct gene expression, so the process of
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The mechanical
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the Netherlands! A place to be proud of. Selection process For more information about the position, please contact prof.dr. Eveline van Leeuwen, via eveline.vanleeuwen@wur.nl Questions about the procedure? Get in
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. Researchers from the groups Electromagnetic, Integrated Circuits, Signal Processing Systems, Optical Communication, and Electronic Systems, work together to address research questions across these research
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requirements A PhD degree in physics, materials, or electrical science and engineering Solid and proven understanding of ultrasound wave physics, transducers, signal processing, and basic electronics Advanced