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This project aims to develop outcome measures for early detection of neurodegenerative disorders using artificial intelligence (AI) and various sensing modalities, offering personalised support to
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instructions, and tolerance assessments, along with multi-modal model analysis. Key Responsibilities: Develop and refine a hybrid metrology technique, based on an X-ray metrology platform, in order to achieve
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-on experience on SARRP and in vivo imaging modalities (CT, IVIS, ultrasound) Expertise in diet-induced fibrosis and surgical tumour models Image analysis, IHC, flow-cytometry Industrial experience with Xstrahl
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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enable cohesive analysis across modalities and length scales. This PhD project is a collaboration between Swansea University and Carl Zeiss, a global leader in microscopy solutions. Both partners
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developing novel MRI acquisition and analysis techniques for human MRI scanners with an emphasis on functional brain imaging. Salary will be commensurate with qualifications and experience. Job
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investigate the feasibility of new imaging modalities for situations where currently employed imaging techniques, such as X-ray transmission and backscatter, have limitations. This project will focus
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. The introduction of additional sensory channels into next generation VR environments such as haptics (touch), olfaction (smell) and gustation (taste) will produce levels of immersion not possible with the current
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-modal prior information Job description The project is part of the IMAGINE open innovation lab (https://research.umcutrecht.nl/news/imagine-takes-off/ ), and aims to develop novel computational methods
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using Contactless Sensors Integrated with Operational Modal Analysis (TORSION)”. The main aim of this project is to develop a condition monitoring system with contactless sensors for critical components