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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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quantitative and data analysis skills, numerical modelling, and programming Ability and willingness to undertake collaborative research The ability to work creatively and independently. Act in accordance with
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Position Description The Department of Earth and Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life
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) and analysis of NGS data. Assist in projects involving bacteria and bacteriophages. Work after hours and on weekends as needed. Use personal protective equipment as per lab requirements. Lab and Data
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
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, metabolomics/data analysis is highly desirable. Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Overview This postdoctoral associate position is available immediately to work
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(or similar) data analysis. The candidate will work closely with an international team led by Dr. Kristin Braziunas and Prof. Brian J. Harvey at the University of Washington and Dr. Judit Lecina-Diaz
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data analysis. Record of scholarly publications and scientific communication skills Proficiency in statistical and data analysis tools (e.g., MATLAB, Python, R). Preferred Qualifications: Experience with
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superconducting qubits. The successful candidate will participate in all stages of these experiments, from initial concepts to device fabrication, measurements, data discussion and analysis. The successful
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. Experience in Electrophysiology recordings in vivo in rodents Experience in Electrophysiological signal analysis Papers published from the PhD Desirable criteria Knowledge of the cerebral cortex Ability