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to design their imaging experiments (e.g. choosing microscopy modalities, sample preparation), maximize quality of imaging data, and consult on image visualization and analysis. The director will facilitate
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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variety of imaging systems in all modalities to ensure compliance with state regulations, accreditation requirements, and relevant practice standards. The physicist will also evaluate and characterize image
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efficiency of low-cost adsorbents for the removal of cyanotoxins and taste and odour compounds from water. This will involve setting up methods for the analysis of selected toxins and taste and odour compounds
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reconstruction, processing, synthesis, and registration, as well as AI for treatment outcome prediction and clinical decision making. The projects will involve using multi-modality images (CT, CBCT, MRI, PET
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methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
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physics-informed deep learning and data-driven modelling. 3. Design and implement pipelines for processing and analysing multi-modal neuroimaging data. 4. Document research outputs including data analysis
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Associate Dean, the Senior Director provides strategic analysis, forecasting, and market intelligence to inform portfolio growth, risk mitigation, and innovation in recruitment, admissions, and enrollment
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image analysis to extract cellular morphology and spatial features. Analyze multi-modal datasets combining transcriptomics, chromatin accessibility, imaging, and electrophysiology. Develop and apply
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separate CTCs from blood. This will include, cell culturing, microfluidic and flow cytometer cell sorting and operation of mass spectrometers (MS), as well as multi-omics data integration and analysis