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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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PhD position in Clinical Natural Language Processing Apply Vacant position PhD position in Clinical Natural Language Processing Aalborg Deadline : 02.11.2026 Department: Aalborg Universitet Test Ref
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
first ultra-lightweight drone transient electromagnetic (TEM) system for high-resolution subsurface mapping. The project combines novel instrumentation, advanced signal processing, real-time physics
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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Two postdoc positions in Thermofluid Design and Digital Modeling of Cooling Systems for Electroch...
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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apply for the position. Aalborg University has a policy of parallel language use. International staff are encouraged, with support from the university, to learn Danish during their employment in
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parallel project carried by another postdoc, which is focused on similar investigation on brain cells in donated postmortem brain tissue. You will be employed in the project Evaluating STING
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, reliability, cost-effectiveness, and sustainability across applications. In parallel, we advance microgrid technologies, supporting developing countries in achieving climate neutrality by integrating
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apply for the position. Aalborg University has a policy of parallel language use. International staff are encouraged, with support from the university, to learn Danish during their employment in
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-based surrogate models. Experience with high-performance and parallel computing. Familiarity with digital twins and real-time deployment of predictive models is an advantage. Who we are The two