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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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internationally. • Participate in the Faculty of Science PhD training program. • Participate in the department’s educational programs, assisting in teaching and supervision of undergraduate or Master students
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addition to these first-rate employee benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team. The gross salary for the first year is
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institutes; participate in teaching at the KdVI and assist with the supervision of related research projects for Bachelor and Master students; participate in the Faculty of Science PhD training program
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
that you help us to solve that problem! The objectives are to develop a world-wide accepted new standard for testing large systems in RC, by comparing the newest fast EM sensor systems, comparing performance
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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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. We offer Dual Career Coaching . The Dual Career Coaching assists your partner via support, tools, and resources to improve their chances of independently finding employment in the Netherlands. You will
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large international community and a lot to offer to international employees. Because we expect you to work and live in the Netherlands our team of advisors on Dutch immigration procedures will help you
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want to contribute to the next level of molecular computing? Are you excited about the application of AI tools to train molecular systems how to process information? Then join our team as a PhD candidate
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bacteria of essential nutrients and boost the immune response. The candidate will work as part of an interdisciplinary team to help characterize how pathogenic mycobacteria rewire host-cell metabolism and