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Field
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung infection. As part of this work, the postholder will
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Job Posting Title: Senior Research Fellow – Molten Salt Reactor Chemistry Modeling ---- Hiring Department: Walker Department of Mechanical Engineering ---- Position Open To: All Applicants
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. As an essential part of the project team, you will work on: Designing and testing novel metamaterial unit cells tailored for transformer enclosures. Numerical modelling using advanced FEM/BEM
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
: 305754 Vacancy ID: PDS004630 Position Summary/Description: About the Group: Our research group is dedicated to developing innovative datasets and modeling approaches to support drug development and
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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Challenge: Managing flood risk in vulnerable interconnected regions. Change: Advancing hydraulic modelling and NBS for resilience. Impact: Protecting communities with smarter adaptive strategies
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 4 hours ago
of all individuals is respected and maintained, the University of North Carolina at Charlotte encourages applications from all underrepresented groups. Applicants subject to criminal background check. The
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within a team Excellent written and verbal communication skills Preferred to have experience with animal models, molecular biology and/or genomics Physical Demands Salary Range $55,000 - $65,000 Additional
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SPECIFICS Postdoctoral Researcher in Defect Modeling The Pennsylvania State University Department of Nuclear Engineering The Computational Nuclear Materials Group (https://sites.psu.edu/cnmg/ ) at Penn State