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- Delft University of Technology (TU Delft); Published yesterday
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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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PhD Position in Explainable AI for High-Stake Decision Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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hold a Master’s degree in neuroscience, medicine, or a related field; a technical degree with affinity for medical imaging (such as biomedical engineering) is also suitable when supported by proven
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unparalleled EO and technology expertise; a unique opportunity to work on innovative solutions to address global challenges; freedom and focus to conduct creative research while making an impact in relation
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to applications submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in control engineering, preferably applied to space systems AOCS
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Employment 1.0 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 08 March 2026 Apply now Join the ERC project
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processing. The candidate should have an MSc degree in Applied Physics, Electrical Engineering, or the equivalent. The PhD position is firmly imbedded in a physics environment, but the candidate strongly
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simulations. You’ll be part of a five member ERC team (PI, technical/data engineer, postdoc and two PhD students—observations & modelling) in Dr Louise Nuijens’ broader research group. Job requirements We
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(structural MRI, diffusion-weighted imaging, functional MRI), advanced connectomics, and receptor-enriched modelling to characterise individual differences in language organisation across healthy participants
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technology, taking our place as an internationally leading center for smart production, processes and devices in five domains: Health Technology, Maintenance, Smart Regions, Smart Industry and Sustainable