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societal challenges. One common denominator in high-tech instrumentation is optics. Applications range from nanoscale metrology and wafer steppers to medical equipment and even earth observation satellites
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enabling you to pursue advances at the interface of AI, ultrasound physics and medical imaging. A master’s degree in applied physics, biomedical engineering, computer science or similar. Experience in
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the Department of Imaging Physics (www.imphys.tudelft.nl ) of the Faculty of Applied Sciences. This department performs cuttingedge research spanning the range from understanding the basic principles underlying
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Change the world: Incorporating human values and motivations in AI-driven innovations. When developing AI, technology often takes the centre stage. However, to make a real and lasting impact, people
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to accelerate the adoption of circular interventions in hospitals. Our research question is: How can hospitals move away from single use medical consumables to make the transition towards circularity? Together
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)medical sciences, (bio)physics, bioengineering, mechanical engineering, clinical technology, or a related field You have a strong research-oriented attitude. You are motivated to develop your teaching
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of ML in engineering is still in its infancy. Many areas of engineering that could leverage on ML include (meta)material characterization and design, computational structural design, and symbolic
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of Dr. Miriam Menzel at the Department of Imaging Physics . The department develops novel instrumentation and imaging technologies. Research disciplines include Computational Imaging, Medical Imaging
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, and you will benefit from a collaborative research context. Applicants should have the following qualifications: MSc degree in engineering, artificial intelligence, robotics, cognitive science, medical
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mechatronic systems, we aim to break new technological ground and achieve unprecedented performance in high-tech manufacturing equipment, medical technology and instrumentation, and related fields, thereby