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of application. Proof of English proficiency About the department The PhD student will join CAES, a group working on the most efficient and effective computer architectures of the future, from large-scale data
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with time-series modelling, especially deep learning architectures (e.g. RNNs, transformers) or signature methods; ● Familiarity with handling big datasets and computational tools; ● Experience working
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in the activities of the Spatial Heritage Research Group. For teaching duties, the candidate will, in consultation, be involved in the Art History BSc program, in the Architecture History or Art
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History BSc program, in the Architecture History or Art History master programs. Teaching will take place in 2nd, 3rd, and 4th year. The candidate is required to reside in the Netherlands, preferably near
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for tabular-native models. This can involve, for example, studying new TRL model architectures, serialization and tokenization techniques, among others. A strong interest and background in AI and/or NLP
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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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Charger). In this role, you will design scalable power converters and intelligent BMS architectures for mobile charging platforms, contributing to the prototyping and real-life testing of a modular mobile
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the development of many trading strategies as well as the underlying architecture and code. -------------------------- Why trading? If you want to get near-immediate feedback on your best ideas, while leveraging
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. They can be constrained by either compute power or memory bandwidth. This information can be used to calculate the theoretical maximum energy efficiency of an algorithm that is run on an architecture
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package within the core research program of CropXR. Our goal is to develop computational methods to translate integrated simulation models of plant responses to stress (drought, heat) from a model plant