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Field
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
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to generate the necessary knowledge and tools to equip local decisionmakers to better deal with conflicting values in parallel transitions and requires an interest in both theory development and engagement with
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Vacancies PhD position on Assessing DNS Dependencies at Scale Key takeaways The Domain Name System (DNS) plays a central role in the Internet’s infrastructure. Its distributed nature has enabled
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, with three other modeling-focused PhDs who will work at different scales of assessment. This work is embedded into a larger team of PhDs, who are collecting data, working on multiple topics, from ecology
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for rigid systems or require extensive sensing and computation. This project addresses the challenge of developing model-based control strategies tailored to soft bodies, capable of exploiting their compliant
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Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science, is looking for a: PhD Candidate, Efficient LLM Algorithm, Hardware and System Design (1.0 FTE) Project description We
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fulltime and starts with a temporary employment contract for 18 months. This probationary period consists of an educational programme, offered by Erasmus Graduate School of Law, and individual research and
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and subsequently distribute within them, typically using microscopy-based techniques. The position is part of the national NanoMedNL consortium and the candidate will interact with other PhD candidates
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phenomena across scales, combining multiple fields including physics, mathematics, astronomy, history & philosophy of science, and social science. Its approach to societal engagement throughout the project’s
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across infrastructure networks, studying how infrastructure administrators handle uncertainty and complexity across multiple organisational levels when managing their infrastructure assets. The candidate