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dependability are key to the next wave of AI adoption. Within this journey, you will focus on algorithmic innovations that exploit—and are constrained by—an emerging neuromorphic processor that our hardware team
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interfaces to social robots and from sensor technologies to interactive sports and play systems. Many projects at the HMI-group delve into how such interactive technologies may be used to support or better
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algebraic geometry, or representation theory; familiarity with programming and the use of computer algebra. Our offer A position for 18 months, with an extension to a total of four years upon successful
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analysis systems, to ensure safe and trustworthy results. This can involve research questions from NLP and AI like model robustness and guardrails, human-computer interaction such as interpretability and
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organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and
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organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and
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their applications to problems in natural sciences (physics, chemistry) and practical computing (machine learning, AI, optimization), and methods to make them compatible with near-term quantum devices
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organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and
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Qualities:You are a computer scientist, a computational biologist or a computational chemist with proven expertise in implementing machine learning methods in Python. You write or have written your master's
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methodologies, implementing innovative ‘omics solutions, performing data analysis, and training computer models to characterise plant-microbiome interactions. We have strong ties to the Netherlands Plant