36 professor-computer-"https:"-"https:"-"https:"-"https:"-"NOVA.id" Postdoctoral positions at Nature Careers in Denmark
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Professor Pernille Klarskov Hansen, klarskov@ece.au.dk , +4593531158, Department of Electrical and Computer Engineering Deadline Applications must be received no later than January 31st 2026. Application
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Aarhus University with related departments. Contact information Before applying or for further information, please contact: Associate Professor Aurelien Dantan, +4523987386, dantan@phys.au.dk . Deadline
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advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international
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laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine
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-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with
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to the faculty’s departments. Consequently, your employment will as of that date be with a department. Contact information For further information, please contact: Professor Troels Skrydstrup, +45 28 99 21 32, ts
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at the Technical University of Denmark (DTU) please inspect www.surfcat.dtu.dk . Should you have any queries regarding the positions, please contact Professor Ib Chorkendorff at icho@dtu.dk . If you are applying
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, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer
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research, contracted policy advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive
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computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately