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) programme in Artificial Intelligence Engineering. You will be responsible for teaching courses in topics such as machine learning, deep learning, MLOps, image processing, and computer vision, and you will
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other relevant stakeholders. The PhD student will contribute to the prototype development, feasibility test and evaluation of innovative cross-sectoral pathways and will be involved in data collection
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Faculty of Science University of Copenhagen The Niels Bohr Institute announces the availability of a faculty position in any area of theoretical physics with an emphasis on paradigm-shifting science. The
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synchrotron or laboratory 3D diffraction imaging is considered as a significant advantage. Excellent English communication skills are also essential As a formal qualification, you must hold a PhD degree (or
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We hereby invite applications for one or more PhD position focusing on the development and application of hyperspectral imaging technologies for bulk forensic evidence analysis. The project aims
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significance of bioluminescence. We will also apply a range of advanced imaging techniques to visualize the light organs and their innervation. The successful applicant will be part of a highly interdisciplinary
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for a two-year period and is available from 1 January 2027, or as soon as possible thereafter. Electrochemical reactors release substantial heat during operation, and the cooling system therefore
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modelling, or live neural imaging is desirable Experience working with neurons and knowledge in neurobiology is desirable Track record of international mobility is highly valued Publication record is
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synchrotron or laboratory 3D diffraction imaging is considered as a significant advantage. Excellent English communication skills are also essential As a formal qualification, you must hold a PhD degree (or
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
will contribute to iterative prototype development and field validation. The Assistant Professor will also be expected to lead data acquisition, processing, modelling, and inversion activities related