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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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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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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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year (salary scale 10 ). You will receive an 8% holiday allowance and an 8,3% end-of-year bonus. You will receive extra days off. With full-time employment, you can choose between 30 or 41 days
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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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-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our team as a PhD candidate! Chemistry is a science of mixtures. Whether you think of complex formulations for drug
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want to contribute to the next level of self-driving labs? Are you excited about the application of high-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our