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academic partner in AF-B-STEP, contributing expertise in AF burden quantification, AI-based rhythm analysis, and digital biomarkers. The department has a strong data science environment, with an additional
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and data science. This cycle's focus is on AI-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed
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experience of building energy simulation and/or urban building energy modelling (UBEM). Strong programming and data-analysis skills (e.g. MATLAB, Python or equivalent). Very good command of spoken and written
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. Activities - Literature review and data compiling - Planification and realization of biochemical experiments (assembly of biochemical reaction networks) - Data analysis and regular (weekly) reporting
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Position Description Yale’s Institute for Foundations of Data Science (FDS) is seeking applications for postdoctoral positions in Data Science. These will be generously supported postdoctoral
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which should be spent on items directly related to the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9763 Requirements Additional Information Eligibility criteria Eligible
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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and project milestones. Stay up to date with advances in quantum technologies and contribute to the transfer of knowledge within the research team. Share this opening! Use the following URL: https
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-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed and efficiency of life sciences research
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Where to apply Website https://www.academictransfer.com/en/jobs/362680/postdoctoral-researcher-in-data… Requirements Additional Information Website for additional job details https