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Field
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combining artificial intelligence with human expertise. The lab develops knowledge-grounded artificial intelligence, text mining and knowledge assembly, mathematical and systems modeling, and causal analysis
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clinical research projects focused on aortic disease and complex endovascular aortic repairs. Responsibilities include protocol development, study design, data collection and analysis, interpretation
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, Applied Physics, or a related field Gas dynamics, pressure drop, and flow through complex systems Experience with mass transfer, diffusion, convection, and coupled heat/mass transport Process flow analysis
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. They will play a central role in data management, statistical analysis, interpretation of findings, and the preparation of outputs for academic, policy, and practitioner audiences. The role offers
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software that allow time-evolving models of complex systems to be calibrated against sparse, indirect, and uncertain observations. The group develops and maintains an open-source Python framework
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in modelling and fluid dynamics simulation (COMSOL Multiphysics or equivalent) is an asset. Acquisition, processing, analysis, and interpretation of complex multi-signal experimental data
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Do you want to combine high-throughput directed evolution with machine-learning analysis of deep sequencing data to engineer better antibodies? The Sormanni Lab in the Department of Chemical
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approaches, with a particular emphasis on imaging mass cytometry and transcriptomic analysis of human brain tissue. We are seeking a highly motivated and intellectually curious scientist who is passionate
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initial problem specification, data gathering and analysis, model creation, and implementation Strong understanding of artificial intelligence applications and methodologies, such as working knowledge
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). Experience on the synthesis of molecular complexes and their characterization by spectroscopic techniques (NMR, IR, UV-vis, ….). Ability to work in collaborative projects and mentor early PhD and master