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ready to challenge and develop yourself in a cross-sector collaboration with infrastructure providers and societal partners? Then the PhD position on ’Shared Pathways for Cross-Sectoral Long-Term
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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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to develop and carry out your own PhD project within the areas of expertise of your promotor Mark Dingemanse and the larger Futures of Language team, which includes Dr Marlou Rasenberg and Dr Andreas
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written and spoken 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
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orbit. A sub-part of the project explores the relationship between oceans and outer spaces as seafaring was crucial to colonial expansion and to the development of technologies used for space voyage
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plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes. Where you will be working You will be part of