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• A positive attitude and drive for learning skills, methods and theory • Ability to work in a structured manner, facilitating teamwork • Ability to prioritise and complete work tasks • Ability
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Organization Centers for Disease Control and Prevention (CDC) Reference Code CDC-2026-0096 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
Professor Yang, the Postdoctoral Fellow will contribute to cutting-edge research, developing statistical methodology and theory related to the primary aims and themes of the Discovery Project. In particular
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project’s research field) Theory Methodology Work plan Results and hypotheses Bibliography Applications with a project description exceeding 1200 words will not be processed. The project proposal will be
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the application materials and a speech sample during the interview) - good team spirit and ability to work effectively in a collaboration What would be desirable: - in-depth knowledge of the theory
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. Competence in the theory of the finite element method is an advantage. Competence in the theory of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants
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, Statistics, or a related field. • Coding: Proficiency in Python (NumPy, Pandas, Scikit-learn). Knowledge of C++ or SymPy is a major plus. • Machine Learning: Strong understanding of machine learning
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computational theory, analysis, and modeling of neuroscience data and concepts. Proposals focused on disease mechanisms or that do not contribute to our understanding of non-disease states are not suitable
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of solid-state materials, with experience in density functional theory (DFT) and/or machine learning interatomic potentials. We welcome applicants with a broad range of research interests and experiences who
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projects: Collaborate flexibly with multiple research groups to investigate human cognition through computational theory, analysis, and modeling of neuroscience data and concepts. Proposals focused