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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded
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organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and
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, thus enabling a safer application of metal AM technology. During this project, the PhD candidate will 1)establish an ultrasonic vibration testing platform for metal AM parts; 2)develop and perform
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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 € 2.901,- per
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well as with the stakeholders (Rijkswaterstaat, water boards, companies, etc). For example, you will interact with hydraulic engineering PhD candidates that study the barrier technical performance and failure
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gained will enhance the understanding of AM variability, thus enabling a safer application of metal AM technology. During this project, the PhD candidate will 1)establish an ultrasonic vibration testing
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analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of the future. To do that, you’ll need the following
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: New-technology-for-drug-delivery-in-hearing-loss What will you be doing and learning? The two PhD candidates working on this project will have complementary expertise in medical biology and
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successful and rewarding career in both the public and private sectors. As a PhD student, you will: Design and conduct empirical studies using real-world data to support health technology assessment (HTA) and
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to become a truly global centre of knowledge. Within the Faculty of Science and Engineering, a 4-years PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial