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dynamics simulations and machine learning methods to study the structure and electrochemistry of disordered materials are also encouraged to apply. The project primarily aims to understand the complex
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alongside data scientists, software engineers, statisticians, and domain experts, publish and release your work openly, and apply these methods to nuclear nonproliferation and nuclear fuel cycle problems
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of the project in collaboration with national and international partners. The position is research-oriented but may involve teaching assignments. Qualifications Candidates must hold a PhD relevant to the academic
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statistical software such as R, Python, SPSS, or Stata. Affinity with issues of climate justice, social inclusion, migration, and/or community-based research. Experience conducting comparative or mixed-methods
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expertise to mixed-methods projects. You will publish in renowned academic journals and present your research internationally. You will independently deliver courses (BA and MA) in accordance with
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. The position is a two-year role and funded by a DFF research project (‘Safeguarding Users’ Cognitive Autonomy in Human-AI Interaction’). Research objectives This project develops methods to detect changes in
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research tasks, using both analytical and numerical methods, contributing to numerical validation of analytical predictions where relevant; (b) write up results for publication and present them at group
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methods (e.g., variational autoencoders) applied to biomolecular dynamics data. ● Familiarity with elastic network modeling (ANM/GNM) or the ProDy software package. ● A track record of independent
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
related quantities obtained from non-local matrix elements, as well as on the development of algorithms and software for large-scale lattice QCD simulations on DOE leadership-class computing facilities
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are looking for candidates to have the following skills and experience: Essential criteria PhD in structural biology, biophysics, biochemistry, or related discipline Experience in Biological NMR and Structural