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, visualization and exploratory analysis (seasonality, etc). A strong grasp on model evaluation metrics, model evaluation and training methodologies. An understanding of probability theory and basic frequentist
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characterisation systems, vacuum beamlines, high-pressure gas cells, and optical diagnostics. Our numerical simulations rely on our own open-source code, Luna.jl (https://github.com/LupoLab/Luna.jl ). More details
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| Computer Science and Engineering We are seeking a postdoctoral researcher to work on problems at the intersection of algebraic coding theory, matroid theory, and pseudorandomness/derandomization. The focus
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some of the following areas: molecular dynamics, Monte Carlo simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic
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simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic acids, ligands), coarse-grain and polymer model development
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are looking for motivated candidates who can bridge system modelling, control and optimization with psychological theories and are confident with calculus, probability, statistics, control, and optimization. In
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. Additional duties as assigned. Knowledge, Skills and Abilities: Solid fundamental knowledge in classical error correction coding theory, digital communications, and signal processing, quantum error correction
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extension. Applications will be reviewed on a rolling basis. Applicants should submit a cover letter and C.V. online. Upon request, candidates should be prepared to submit references, code and/or writing
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Applications are invited for one fully funded, 2.5-year post-doc position (1.0 FTE) within the research project “The Platformization of Music: Towards a Global Theory” (PlatforMuse), financed by
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
using first-principles simulations software (density functional theory and related codes) # Automated Workflows:Utilize automated workflows on high-performance computing systems for efficient data