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conducting groundbreaking research, providing high-quality education, offering excellent support, and fostering collaborations within and outside the university. In doing so, we contribute indispensably to a
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of this PhD project is to develop, build and operate a vacuum compatible exfoliation center for the creation of heterostructures constructed from reactive 2D materials. Recently, two-dimensional (2D) materials
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in biology? Then you have a part to play as a PhD candidate. By combining simulations and machine learning, you will help us develop new, innovative methods to extract knowledge from immune cell
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diligently, and interact with peers worldwide. You will also be asked to spend 10% of your time on teaching. This is a four-year, fully funded PhD position. Profile You should hold a Master’s degree in a
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to education, for example in the form of thesis supervision and teaching assistantships for courses (such as AI as a Science , Theoretical Modelling for Cognitive Science ). Other relevant work by the team
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-magnetic synapses in CoPt films: non-volatile, magnetic memory elements continually adaptable using laser pulses. Key challenges for future neuromorphic and in-memory computing are to develop material
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an enthusiastic young scientist who likes to work with and develop novel laser-based spectroscopy instruments? Do you hold a Master’s degree in physics (photonics), electrical engineering or a related
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you have a passion for research and are you interested in audio machine learning for technological and neuroscientific applications? Are you eager to tackle complex problems and to develop creative
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dedicate 10 % of your working time to teaching activities at undergraduate and postgraduate levels. Because of the interesting research, the constant innovation and friendly atmosphere, I’m excited
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guiding their decisions? Apply now as a PhD candidate at the Radboud Institute for Culture & History (RICH)! We offer you the opportunity to develop and carry out your own PhD project within the areas