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-driven experimentation. You may be a food scientist with strong computational skills, eager to integrate artificial intelligence into ingredient and product development. Alternatively, you may come from a
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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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course program tailored to your needs and the research team. The gross salary for the first year is € 2.901,- per month rising to € 3.707,- in the fourth year in according to the Collective Labour
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Vacancies PhD position on bridging the gap between Paper based Systems Engineering and Model Based Systems Engineering Key takeaways Model Based Systems Engineering (MBSE) has been the promise for complex systems design for many years. Still, many companies struggle to implement it. They tend to...
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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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Institute). Qualifications We seek excellent students with a strong background in cosmology, astrophysics, physics, mathematics and/or computer sciences, who seek to obtain a Joint-PhD degree from
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-class expertise from eight Dutch Universities, five Research Institutes and relevant societal stakeholders that play a major role in research and management of the North Sea. The six-year program (2025
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experimental and computational methods, and should eventually promote our understanding of the potential drivers of language emergence in our species. Requirements What we expect from you: Essential A Masters
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environmental and climate impact. Together with Dutch farmers, ReGeNL is a transdisciplinary program developing a future-proof agricultural sector in which agriculture goes hand in hand with soil health and
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-year research programme, funded by NWO(link is external) , EMBRACER brings together a wide range of world-leading climate experts with the aim to address existing uncertainties about climate