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related subject (or be close to completing the degree); demonstrated interest in AI reasoning systems, algorithms, IoT, context-aware pervasive computing, machine learning and data analysis, software
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modelling, and an ability to learn new concepts and (computational) methods as needed Affinity with scientific computer programming (e.g., R, Matlab, Python) Proficient communication skills in spoken and
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; Collaborate with interdisciplinary teams for example: the Design Data and Society research group, architects in practice, data scientists, ecologists, and human-computer interaction specialists; Publish
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some academic research experience post-Master level. Demonstrable affinity with archival sources. Strong skills in GIS-based research, additional experience with computer vision and machine learning is a
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it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Profile You have a Master's degree (or equivalent) in Psychology, Neuroscience, Computer
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, Computer Science and Artificial Intelligence, the PhD student is in charge of data-driven model reduction. This includes three parts: (1) heuristic approaches (symbolic regression), (2) non-intrusive data-driven
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by drift-diffusion will be treated at the atomistic scale and vice-versa. A deep understanding of device physics, numerical modelling, and computer programming are, therefore, required. The PhD student
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boundaries of retinal imaging. You are an independent thinker with a passion for innovation and problem-solving. a Master's degree or equivalent in (theoretical) physics, mathematics, computer sciences
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? Are you enthusiastic about interdisciplinary research at the interface of biology and physics? Are you excited about using a multifaceted approach combining mathematical modelling, computer simulations, and
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boundaries of retinal imaging. You are an independent thinker with a passion for innovation and problem-solving. a Master's degree or equivalent in (theoretical) physics, mathematics, computer sciences