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. We welcome applications that propose to carry out lab, field or modeling research to understand warming effects on methane emissions or removals from vegetated wetlands, coastal systems, and inland
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migraine and other headache disorders, neuroepidemiology, and other neurodegenerative disorders. We use advanced biostatistical modeling, artificial intelligence (AI), machine learning, and neuroinformatics
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applicant will have: A PhD in Materials Science, Applied Physics, Electrical Engineering, Chemistry or a closely related discipline. Strong background in modeling and simulation of thermal/energy systems
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experimental design, sample collection, data management, and preparation of research reports and publications. Recruitment & Outreach (25%) Develop recruitment and promotional materials for prospective students
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characterize their properties and performance using instrumental and sensory analyses. To provide robust scientific insights, this position will also carry out modeling and validation of processes of utility
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protecting nature-based assets in urban and rural environments Sustainable Materials and Resources: developing materials and technologies that reduce emissions and improve performance Sustainable Society
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Education and Experience Preferred Education and Experience 3-5 years of research experience in molecular pain models and/or data analysis with experience in Bioinformatics, proteomics, RNA sequencing and RNA
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empirically equivalent quantum models. A prototype model can be explored at qsf-v1. The ideal candidate will be: Skilled in computational modeling and numerical simulation of quantum systems Skilled in
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The Opportunity (Job description): The Computational Materials for Energy Technologies (CoMET) group, led by Assistant Professor Duy Le in the Department of Physics at the University of Central
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sustainable food systems. We work to elucidate how system structure mediates sustainability outcomes from management change or policy implementation. Our applied work consists of modeling and field-based