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biostatistical analysis. Process imaging data to perform blood flow analysis. Maintain Aortic Center database. Discuss the results with the PI and other lab members. Attend/present at seminars and conferences, and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 18 hours ago
, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of tools for the analysis and computational modeling of multimodal neuroimaging data, comprising resting-state EEWG and fMRI data
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21 Feb 2026 Job Information Organisation/Company Bocconi University Research Field Mathematics » Mathematical analysis Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First
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the project’s deliverables. 2. To perform internationally competitive research in the analysis of transcriptomic and epigenetic data. 3. To provide analytical and statistical expertise, and algorithms for data
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, and visualization techniques to assist with the development, evaluation, and/or applications of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data
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review of fire modeling. Improvement of selected models. Analysis of the implications for transport networks. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements
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its microscopic geometry, incorporating a wide variety of physical phenomena and using a modular structure that allows new physics to be added easily. More information is available at http
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field-10 val. b)Knowledge of data analysis (weighting of 0,15) - maximum 15 values With advanced knowledge and experience in data analysis-15 val. With knowledge and experience in data analysis-10 val
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• Develop new computational research projects on contemporary antisemitism • Build computational pipelines for social media data collection and analysis • Supervise graduate and undergraduate research
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models