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: Bibliography and identification of the energy system components. Theoretical modeling and simulation of the flow systems. Data analysis. Assisting the PI and the sponsor in grant writing for other funding
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operating and interpreting data from analytical and characterization equipment, including: Universal Mechanical Testing Machine Scanning Electron Microscope (SEM) DTG thermal analyzer FT‑IR spectroscopy
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, Electrical and Computer Engineering, or a closely related field. ● Proficiency in MATLAB or Python. ● Prior experience with Neuroimaging analysis (using FSL, AFNI, SPM, etc.) ● At least one
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machine learning. We focus on inductive logic programming (ILP), which learns logical rules from data. We primarily use automated reasoning techniques, such as SAT/ASP/SMT/MaxSAT solvers, to learn rules
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and machine learning. We focus on inductive logic programming (ILP), a form of inductive program synthesis which learns logical rules from data. The focus of this position is to develop ILP/program
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will include processing and analysis of neurophysiology data, developing stimulation protocols, presenting at conferences, and publishing scientific manuscripts. The postdoc may also supervise
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/modelers, and data scientists Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of Materials Science, Chemical Engineering, Chemistry, or a closely related field
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research projects in their field of expertise. Assists with the preparation and cleaning of the worksite. Analyzes research data and summarizes results. Writes and may contribute to research papers, articles
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decision-support tool to incorporate biodiversity and land use. This data-driven tool provides diverse users with a manipulatable graphical interface to explore the impact of different drivers of change (e.g
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diagnostic pathways. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD