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Field
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communication skills in English Ability to work efficiently, both independently as well as in a team Previous experience in the fields of soft matter, metamaterials, quantitative image analysis and programming
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of metal electrodeposition is largely lacking. Knowledge gaps remain on the exact mechanisms of conversion from solid oxides to metallic iron, as well as the exact physics and operation parameters
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Job description You will design, manufacture, test and validate two smart material systems/demonstrators: (i) a catheter for invasive surgery with shape and property morphing and (ii) an assistive
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imaging systems capable of penetrating fog, dust, and even certain solid materials. These systems will deliver detailed, high-resolution imaging in challenging conditions where conventional optical sensors
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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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new paradigm that aims to create a farming sector with positive externalities. By creating farming systems in balance with local soil, landscapes and communities, regenerative agriculture can restore
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longer sustainable. This project pioneers a new paradigm: we design smart, low-power digital AI co-processors that learn and correct the imperfections of their analog counterparts in real-time. As a PhD
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candidate you will: Collaborate closely with the experimental team that acquires these multiscale data Analyse rat MRI data, including integration with histology and calcium imaging Combine data across
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holders, setting requirements on data quality and measurement conditions. Together with cardiologists, supervisors and colleague PhD students, you will further perform human testing of several prototype
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domains with advanced methods development. Various brain imaging methods are employed to describe or manipulate behaviour, including (intracranial) EEG, functional MRI, and non-invasive brain stimulation