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optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop implementation would be an advantage. You are not expected to have expertise in all of these areas
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for detection and/or classification of bioacoustic signals. Extensive experience with programming (Matlab, R, Python) including GPU programming is required, and familiarity with edge-based machine
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-driven operation of ships – Energy efficiency and predictive maintenance, digital twins, and the use of machine learning and sensor data to optimize vessel operation and efficiency. Seakeeping and
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platforms geospatial data analysis and use of GIS software (e.g. QGIS) and cloud-based geospatial analysis platforms such as Google Earth Engine statistical modelling, machine learning, cloud/high-performance
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content of the programmes is available here: https://www.aau.dk/uddannelser/bachelor/kommunikation-og-digitale-medier-aalborg , https://www.aau.dk/uddannelser/kandidat/informationsvidenskab , https
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). It is expected that candidate awarded the PhD fellowship will be able to commence the PhD degree programme on 1 February 2027. Where to apply Website https://phd.arts.au.dk/applicants/open-and
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. • Excellent oral and written communication skills in English. See if you need a test of your English skills here: https://healthsciences.ku.dk/phd/admission-requirements/language/ • An interest in self
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https://math.au.dk. Place of work and area of employment The place of work is the Department of Mathematics, Aarhus University, Ny Munkegade 118, 8000 Aarhus C, Denmark. The complete job advertisement
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Stochastics. The positions have 1st January 2027 as earliest possible start dates. There are postdoc positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When
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-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026/niels-van