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extracting and preparing data for statistical analysis. Additional Information: May assist in data governance, data quality assurance, and data management activities. Strong analytical, problem-solving, and
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: Commensurate with education and experience. Benefits Provided: Contract Required Attachments: Resume, Cover Letter Job Description --- Deploys training curriculum through various learning modalities including
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
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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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 25 days ago
started to play a relevant role in the analysis of multimodal (different data sources) healthcare information, towards optimizing patient treatments. However, healthcare data is sensitive and requires
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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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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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equipment used in analysis such as spectrophotometers, analyzers, microscopes, slide stainers, diluters, and computer controlled high volume analyzers, mixers, rotators, pipettes. Perform minor
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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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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