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societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600
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Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
will be working with the overall objective of making active, durable and cost-effective electrodes for liquid alkaline electrolyzers for hydrogen production. Your primary tasks will be: Synthesis
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, departments , and diverse activities on its website . Contact For further information about the position, please contact the principal investigator (PI), Kasper Hedegård Schiølin by e-mail: kasper@cc.au.dk
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– description of your current and future research plans; Diplomas (Master and PhD degree or equivalent); Complete publication list; The deadline for applications is 15 August 2025, 23:59 GMT + 1. After the expiry
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collaborators abroad, with access to state-of-the-art facilities for systems biology, genome engineering, and bioprocess development. Your primary tasks will be to: Design and perform adaptive laboratory
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empirical methods, namely on the analysis of: Large-scale microdata sets, in particular, the excellent Danish micro-data; Experiments, both in the laboratory and the field; Other types of primary data like
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technical-administrative employees, and approximately 15 PhD students. For more information about the Department of Law, please visit: Department of Law Further information If you need help uploading your
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will remain stable on the long term. Even with the very best alternative energy sources and conversion of CO2 into products, current air and ocean CO2 levels will need 1,000 to 10,000 years to return
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technical-administrative employees, and approximately 15 PhD students. For more information about the Department of Law, please visit: Department of Law Further information If you need help uploading your
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs