212 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" Postdoctoral research jobs in Denmark
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and Memorial Sloan-Kettering Cancer Center, NY. Read more about the project here: https://health.medarbejdere.au.dk/en/display/artikel/supercomputer-and-ai-to-strengthen-danish-cancer-treatment-new
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written and spoken Willingness to engage in interdisciplinary collaboration and fieldwork Advantageous: Knowledge of bat ecology and species identification Experience with machine learning or automated
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. Further information Further information may be obtained from Prof. Ivan Mijakovic: ivmi@biosustain.dtu.dk You can read more about the hiring department at https://www.biosustain.dtu.dk/ If you are
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cultural events including music festivals etc. See e.g. the recent recommendation by CNN (https://edition.cnn.com/travel/article/aarhus-denmark-things-to-do/index.html). Aarhus is easily reached through
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and technical-administrative staff and you have a flair for establishing collaborative relationships. Read more about the Department of Food Science at: https://food.au.dk/ The place of work is
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polar orbit, passing near the poles about 15 times per day and regularly observing the CIFAR study region. Its payload - two optical cameras, a thermal camera, and onboard machine-learning capabilities
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of POLSAFE (see profile: https://vbn.aau.dk/da/persons/jajh/ )The research team will consist of two postdoctoral researchers working closely together with the principal investigator and a research assistant
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likely use ICP-MS to measure catalyst degradation in the electrolyte after testing. The potential to teach, advise Bachelor/Master student thesis projects, or be involved in proposal writing is also
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highly desired. Strong communication skills, the ability to collaborate effectively within the team, and proactive working style are essential. The candidate should be motivated, open to learning new
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at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF