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approach that will be used is Challenge-Based Learning (CBL) in which multi-disciplinary teams of students learn by conducting research and design projects on a societal problem in collaboration with
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this. Implement and test such a framework, in a clinical setting. Help teach explainable AI to bachelor’s students and master's students and/or decision makers. For example, by developing workshops and training
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topics broadly cover how companies build and retain sustained competitive advantage in the face of current business- and societal challenges. Overall, we are looking for a candidate who is eager to learn
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possession of an Article 9 qualification (authorization to design and conduct animal experiments), or willing to obtain this certification through training; fluency in English and willingness to learn Dutch
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skills in English (C1); good communication skills and a willingness to collaborate within an interdisciplinary research programme. Dutch proficiency (B2), or willingness to learn Dutch, is required due
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Research & Development – love to be in the laboratory and aim to set up experimental facilities. You have experience and/or willing to learn hands-on cell testing via electrochemical characterisation (i-V
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that addresses key societal challenges. Our faculty is large enough to make an impact on both a national and international scale, yet small enough to offer a personal and engaging learning experience. In
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, silicon-proven AI/ML accelerator for transmitter error correction (digital predistortion/calibration). Your work will sit at the intersection of machine learning, DSP, and digital IC design, and you will
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emerging field with your insights. You will learn how to design chemical reaction networks at material interfaces and become a forerunner in chemically-programmable coatings. Briefly, the core objective of
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is made for you! Information We invite highly motivated students with a strong background in mathematical control theory, and a keen interest in machine learning to apply for the PhD position within