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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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++ 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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! Scientists have speculated about the inherent potential of molecular systems for information processing since the dawn of computer science. However, the digital computing paradigm is inherently ill-suited
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in the SPG. We will make use of models of different complexity up to complex Earth System models, and modelling efforts for different past periods. A personalised training programme will be set up
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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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MSc in physics, applied mathematics, environmental sciences, computational science or a related field; excellent skills in scientific programming and numerical/statistical analysis of simulated and
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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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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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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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and AMOC changes at decadal to millennial timescales. This project may include participation in seagoing expeditions. This project is part of the 10-year EMBRACER research programme funded by the Dutch