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of treatments. The role of trace elements can be measured with Scanning Transmission X-ray Microscopy, integrated into a multi-modal imaging platform: using also super-resolution Infrared microscopies, X-ray
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processes or laws Elicitation of requirements from natural language Applications of declarative specifications (e.g. temporal, modal logics, declarative process models) in the analysis of systems Model-driven
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patients with medically refractory epilepsy and brain tumour biopsy. This software enables clinicians to use complex multi-modal imaging to inform surgical decisions. Based on the early success of EpiNav
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characterization methods (potentially including electrochemistry, multiple microscopy modalities, quartz microbalance, impedance spectroscopy) as well as surface modification and characterization and protein
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that can sense disease-associated features 2. Cell Therapies for Neuroinflammation and Neurodegeneration - Creating multi-modal cell therapies combining anti-inflammatory and regenerative payloads
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validate new technologies for the diagnosis, prevention, and management of sport injuries, with emphasis on safety rather than performance. You will be responsible for the design, execution and analysis
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computer vision. Experience with multi-modal data fusion and alignment techniques. Experience with spatial transcriptomics or other -omics data analysis. Proficiency in Python programming and scientific
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on developing advanced new algorithms, testing and validation, and applications in medical neuroimaging and non-imaging modalities. The candidate will contribute to the overall research goals and objectives
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of various psychopathologies and the target engagement by various intervention modalities. Clinical study design, neuroimaging study design, data collection, data analysis, and interpretation of data
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deep learning approaches on a wide variety of clinical data modalities, such as structured data, imaging and testing data, and free-text clinical notes. The researcher will have the opportunity to work