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Field
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. Qualifications Ph.D. in Physics, Materials Science, or a related field. Hands-on experience with cleanroom nanofabrication. Familiarity with transport experiments (thermal, electrical) is a plus. Strong analytical
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 12 days ago
validation; proficiency in Python and scientific computing, including experience with finite element methods, preferably using FEniCS or DOLFINx; strong analytical and communication skills, with the ability
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or novel analytical methodology for analysis, detection, or treatment of PFAS. Generally, the postdoc will provide support to research projects under the direction of Dr. Guo analyzes problems in research
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Posting Details Position Information Fiscal Year 2025-2026 Position Title Postdoctoral Associate, Organization & Human Resources Classification Title Postdoctoral Associate Department Organization
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, Perl and/or R Competences Highly developed organization skills Excellent analytical and problem-solving skills Creativity allowing to explore data from unexplored angles Enthusiasm, motivation and
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. Your qualities You are curious and passionate about cellular agriculture, possess great problem-solving and analytical skills, and are highly motivated to contribute to the development of a safe and
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integration, visualisation, and advanced analytics. Our research integrates bioinformatics, data science, and IT solutions to advance digital health and translational medicine using a “bench-to-bedside
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Biology Physical, Atmospheric, or Analytical Chemistry Polymer, Materials, or Nanoscience Chemistry Theoretical Chemistry This is an ongoing recruitment. Positions are dependent on extramural funding and
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skills Competency in or willingness to learn process-based modelling Strong data management skills and proficiency with analytical tools e.g. Matlab, R, Python Previous experiences with eddy covariance
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) Development of an Augmented Smart Classroom for Personalized Learning (SmartClass) serving as a test-bed for the collection and analysis of students and professors data, leveraging on data analytics and machine