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Requisition Id 15422 Overview: The Multiscale Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
on Experience and Qualifications Proposed Start Date 03/16/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research
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gas and other energy resources, policy assessment methods, including economic and modeling skills, and computer software products Research experience Excellent written and oral presentation skills Both
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of Languages and funded by an ERC Consolidator Grant awarded to Professor Tuomo Hiippala . The project develops novel methods and resources for studying multimodality, or how humans communicate using
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physics-informed and physics-ML hybrid approaches that integrate domain knowledge with data-driven methods to advance hydrological process understanding and prediction. Conduct multimodal, multiscale data
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. To this end, we will employ advanced molecular, cellular, and systems biology methods and tools, as well as various research models—from standard cell lines to primary lines and several mouse models
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(AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines
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and written communication. • Ability to work independently and as a team member • Ability to learn additional approaches to data collection and analyses (e.g., qualitative, quantitative, mixed methods
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of Engineering at the University of Texas at Arlington invites applications for a rank Post Doctoral Research Associate. This position will focus on analyzing imaging data, developing novel methods for analysis
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+ EDX · Fully Automated FIB Helios 5UX · FEI SEM Quanta and SEM Magellan Requirements: · Education: PhD in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. · Knowledge: Deep