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. The aim of the project is to bring about a paradigm shift in the design of switchable materials, by delving into the uncharted territory of f -element valence change (VC). The VC materials will be
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facilities and state-of-the-art equipment for material preparation, characterization, indoor air quality assessment, and prototype development. Responsibilities and qualifications You are enthusiastic and self
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are required and will be given. You will have an exciting opportunity to work on the future paradigm for the construction of multistorey buildings in which a comprehensive system-of-systems approach intertwines
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through RNA sequencing and analyze bacterial chemical profiles using LC-MS/MS and mass spectrometry imaging. Throughout the project, you will collaborate closely with experts in sequencing, analytical
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for the globally expanding healthcare sector with its demands for the most advanced technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging
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. Programming skills in Python, with experience in deep learning frameworks such as TensorFlow or PyTorch. Experience with computer vision techniques, image processing, and neural networks. Familiarity with
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) within Robotics, Computer Vision, Computer Science or similar and the candidate is expected to have a profound knowledge on the majority of the following topics: Image processing/computer vision Deep
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classical precision limits for metrology and imaging, Fundamental tests of quantum mechanics, exploring macroscopic quantum phenomena. Continuous variable quantum opto-mechanics Explore quantum control
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17 PhD positions - Marie Sklodowska-Curie Doctoral Candidates within the ‘FRESCO4NoPain, Frontier Re
imaging signature and neurotransmitter dynamics of neuromodulatory interventions’, Institute of Cellular and Integrative Neuroscience, the National Centre for Scientific Research, France DC2: ‘Closed-loop
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technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural