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range of science and engineering disciplines, from classical disciplines such as mathematics, astronomy and mechanical engineering, to interdisciplinary fields such as artificial intelligence,nanoscience
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Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we external link work on excellent research and inspiring education. We do so, driven by curiosity and supported by
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interfacing of the sensors. The PhD candidate will work at the Integrated Devices and Systems (IDS) group within the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University
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research carried out at the Faculty of Science is diverse, ranging from mathematics, artificial intelligence, computer science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and
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international conferences and to collaborate with other academic and industrial partners. The ideal candidate holds a Master’s degree in Robotics, Control Theory, Mechanical Engineering, or Applied Mathematics. A
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Engineering, or Applied Mathematics. A background in system dynamics, modeling, or control is essential; prior experience with soft robotics or experimental work is a plus but not required. We value
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are driven by curiosity to expand fundamental knowledge and to look beyond the borders of their own discipline. The research carried out at the Faculty of Science is diverse, ranging from mathematics
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are driven by curiosity to expand fundamental knowledge and to look beyond the borders of their own discipline. The research carried out at the Faculty of Science is diverse, ranging from mathematics
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the Faculty of Science and Engineering, a 4-year PhD position is available to start as soon as possible at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence with the topic
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background in mathematical derivation and implementation of numerical methods for multiscale field problems. In addition, experience with high performant computing languages is desired, while knowledge