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learning models to predict ion-exchange isotherm parametersIntegration of predicted parameters into the CADET chromatography simulation framework Simulation and analysis of batch and gradient elution
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. of Mathematical Modelling and Numerical Analysis. The position is funded through the Marie Sklodowska Curie Doctoral Network ACHILLES, which brings together a broad spectrum of expertise, including basic research
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processing, data analysis, and measure construction using Medicaid administrative data or electronic health record (EHR); presents results to project sponsors; conducts literature searches and reviews; and
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composites for enhanced durability, performing microstructural analysis and mechanical testing. Topology Optimization & AI Integration: Use AI and machine learning to guide structural and topology optimization
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at understanding the emotional dynamics shaping contemporary political landscapes. Project Overview: Website: More information is available at the PLEDGE website: https://www.pledgeproject.eu/
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spoken. An advantage: knowledge of classical mechanics, quantum mechanics, statistics, Python programming proven by writing data analysis scripts. LanguagesENGLISHLevelExcellent Research FieldPhysics
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master's and bachelor's degrees. Fluent English, written and spoken. An advantage: knowledge of classical mechanics, quantum mechanics, statistics, Python programming proven by writing data analysis scripts
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up to three years. This position will support NSF sponsored projects including site maintenance, GIS analyses, analysis of data, and writing of scientific research manuscripts for publication in peer
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analyses, population genetic analyses- information provided in the CV and/or in the motivation letter; Experience in analysis of plant organellar genomes - information provided in the CV and/or in
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the analysis of more complex collaborative projects. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and