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results. You will join the Section for renewable energy and forest sciences and conduct cutting‑edge research using remotely sensed point‑cloud and image data to map forests. The position is part of two
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: • Image processing and sensor data analysis, ideally with HSI or other imaging technologies. • Machine learning and artificial intelligence, especially classification and segmentation tasks. • High
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reactors in relation to process performance; Perform and Analyse Particle Image Velocimetry data in shear controlled continuous experiments; Developing guidelines for controlling negative effects of SACs in
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PhD students, you will further perform human testing of several prototype devices developed at Delft University of Technology and you will cleverly review and interpret the measurement data
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, Diffusion Tensor Imaging (DTI), Ultrasound, muscle stimulation, electromyography (EMG), and motion capture. Conducting human anatomical specimen dissection studies to obtain in-vitro data for model
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Your Job: Working with a broad range of imaging modalities (e.g. structural, diffusion-weighted and functional MRI, intracranial EEG) Multi-scale modelling of human brain development Using machine
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We are looking for a PhD candidate for microfabrication, nanostructuring
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and indexing) carrying out data collection, data management and analysis (under supervision) performing research tasks within the area of classical archaeology, e.g. literature searches and image
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performance; Perform and Analyse Particle Image Velocimetry data in shear controlled continuous experiments; Developing guidelines for controlling negative effects of SACs in anaerobic wastewater treatment
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Join us to create new smart molecules for imaging of complex mechanics. Job description Soft matter such as polymers and hydrogels are incredibly versatile materials. Their use in metamaterials and