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his PhD degree in Prof. Curtis Berlinguette’s lab at University of British Columbia in Canada in 2018. He then moved to Prof. Erwin Reisner’s lab at the University of Cambridge for postdoc program. In
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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to investigate excited-state dynamics in hybrid and solid-state materials. Transport and transfer of energy are the most critical processes that determine the evolution of a system, and they are essential for a
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 20 days ago
will develop detailed lifecycle assessments and technoeconomic analyses of the pyrolysis process and for large-scale end-uses of the co-produced solid carbon. The geologic hydrogen project will develop
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education: PhD in a scientific field or MD Minimum experience: 0-3 years of prior postdoc experience Preferred Qualifications: Preferred Experience: Expertise in GPCR pharmacology and structural biology Why
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to facilitate processing and analysis grounded in principles of Responsible AI. In addition, the NTO will be tasked with creating open data and computational resources for education researchers and developers
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% Participation in lab meetings and activities, dissemination of information through writing, presentations, and outreach. REQUIRED/PREFERRED QUALIFICATIONS Candidates must have a PhD in environmental engineering
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Minimum Education and Experience PhD, MD or MD/PhD in psychology, cognitive neuroscience, computational psychiatry, or a related field. Proficiency with programming and data analysis using at least one of
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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reports and manuscripts and present findings in tabular, oral, written, and/or graphic formats. Minimum Qualifications PhD in immunology or related field of study. Preferred Qualifications • Expertise with