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://scholar.google.com/citations?user=8tAgGMUAAAAJ&hl=en&oi=ao The project’s main PhD supervisor is Professor Johannes Bjerva (jbjerva@cs.aau.dk), Department of Computer Science. For information on Bjerva’s profile
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/required experience) -PhD in Aerobiology or in Biology and other Environmental related disciplines including mycology, agronomy, forestry, medicine (with interest in aerobiology/allergology), meteorology
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 13 hours ago
support services. The hired engineer will be a member of the KerData Inria team (https://team.inria.fr/kerdata/ ) led by Gabriel Antoniu. KerData is a joint research team of Inria Rennes - Bretagne
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Ruska-Centre. The activities of the facility support cutting-edge methodological as well as topical cryo-EM research for internal and external users. The position will oversee microscope user operation
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attending an academic Bachelor’s degree in the scientific field mentioned above. Knowledge or experience (preferred) on machine learning or computer vision techniques, and interest in developing such skills
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. • Experience communicating complex information to a range of different audiences in written and verbal formats, such as report writing, presentations, blogs, social media. To be considered for this PhD, please
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Park, Harrogate, HG2 8PB. Do you hold a PhD or Master’s degree in Electronic and Electrical Engineering, Embedded Systems Engineering, Mechatronics, or a related discipline? Do you have a strong
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own learning. You should apply if First degree in Engineering, Applied Mathematics or Physics (with an MSc or PhD in a related topic). Experience of processing of numerical and/or experimental data and
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similar skills and experience PhD in one of the above mentioned topics Excellent knowledge in application of synchrotron radiation in terms of diffraction, scattering and/or related imaging techniques
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frameworks, and the practical constraints of managing a national transport system - experience that is rarely available within a purely academic PhD. The outcomes of the project will include new predictive