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time. The problem space encompasses both heuristic algorithms, such as Monte-Carlo Tree Search and Pattern Sampling, and exhaustive algorithms, where we will investigate Optimistic Estimates, GP-Growth
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industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view
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Design Engineering. We enable society and industry to innovate and create value using efficient, solid and sustainable technology. We are part of a ‘people-first' university of technology, taking our place
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of computation) than the design/algorithm flaw of the system itself, are on the rise as it has been seen with Spectre and Meltdown vulnerabilities in 2017. In this cross-disciplinary CogniGron project, we aim
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in advancing AI technologies, making them more available and efficient, and paving the way for smarter, streamlined applications designed for the very edge of technological capability. Are you eager
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channel attacks, exploitation of any other information (e.g., power consumption, electromagnetic/acoustic emissions, timing of computation) than the design/algorithm flaw of the system itself
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• excellent English language skills in speaking and writing • affinity or experience with working in innovation projects with partners from practice. We offer you in accordance with the Collective Labour
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and ethnographic research methods is welcome, as is experience with envisioning a multi-scalar research design. Potential topics include but are not limited to: the (violent) histories of conservation
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envisioning a multi-scalar research design. Potential topics include but are not limited to: the (violent) histories of conservation/tourism spaces; tourism development and the political ecology of memory
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skills in speaking and writing • affinity or experience with working in innovation projects with partners from practice. Organisation Conditions of employment We offer you in accordance with the Collective