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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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programmes in Chemistry, Molecular Life Sciences and Science. You will develop an independent research group to build a competitive research programme in medicinal chemistry, in which the design, synthesis and
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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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. On the other hand, the relationships you develop will support urgent risk assessment for over 1,000 substances, across more than 1,000 species (including humans) and 1,000 sites worldwide. To further improve
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of the dominant role size plays in system functioning. On the other hand, the relationships you develop will support urgent risk assessment for over 1,000 substances, across more than 1,000 species (including
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English. You are willing and able to develop yourself into an independent. scientist (growth mindset). Experience with chemical analysis is essential. Experience in fieldwork would be an advantage. We offer
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you an enthusiastic young scientist who likes to work with and/or develop new spectroscopic instruments? And do you hold a Master's degree in physics (photonics), electrical engineering or a related
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at Radboud University as an employee. And, of course, we offer a good pension plan. We also give you plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide