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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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tools and programming languages such as R or Python; an interest in working together with people from the food industry; you are an ambitious and highly motivated scientist; you are a creative researcher
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++ programme “Break-through technologies in flow and fluid composition measurement”. It involves close cooperation with flow sensor companies and the TU Delft, where a post-doc will focus on the electronic
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scientist, will co-supervise. Your qualities You have: a successfully completed MSc degree in human nutrition, food technology, or a related discipline; interest and/or background in human digestion
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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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at various levels. EAAS is hiring a total of 20 PhD/postdoc scientists to join the team, and our project/group leaders share the ambition of gender parity in hires across EAAS. Within this context we invite
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supporting the clinical programme in all activities related to the in vitro production and preservation of equine embryos (ovum pick-up, oocyte maturation, intracytoplasmic sperm injection, IVF, embryo culture
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University external link . About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University external link
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models. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience a and strong deep learning programming skills. Ability to work in an
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. For more information, please visit Working at Utrecht University external link . About us A better future for everyone. This ambition motivates our scientists in executing their leading research and