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. For more information on my research background and publications, please visit my ORCID profile: https://orcid.org/0000-0002-7691-8948 . Responsibilities: Perform Middle Cerebral Artery Occlusion (MCAO
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secondary data sources for research; use and analysis of quantitative data in concert with extensive in-depth literature reviews and related written summaries targeting AI topics; completion of human subjects
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Advisory, Conciliation and Arbitration Service (Acas); | Bristol, England | United Kingdom | 4 days ago
on the design, collection and analysis of data using internal data collection and management of externally commissioned evaluation if required. Evaluation support – responding to ad hoc evaluation questions
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. Cleaning, structuring, and annotating the data needed to train and validate AI models. Development of AI modules and alert systems: Development and integration of algorithms for analysis, anomaly detection
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25 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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. -Experience in molecular biology and with C. elegans genetics -Strong verbal and written communication skills. -Attention to detail and training in research methodology and quantitative data analysis. Key
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Domitille Caillat (Praxiling / Paul-Valéry Montpellier 3 University), involves the collection, annotation, and analysis of multimodal data using both manual and computer-assisted techniques. In close
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deal with high data rates (GB/s) and “big data” volumes. To strengthen the support we can offer to the beamlines and their users, we are looking for a Beamline Data Scientist to improve the data analysis
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transcriptional regulation from multi-omics data; computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis; computational and experimental studies
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, computer science, artificial intelligence, or mathematics/statistics, with a PhD in one of these fields or a closely related field, and interested in applying this skillset to the analysis of music data. The place