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combine MRI, EEG/MEG, behavioural assessment, computational modelling and automated neuroanatomical phenotyping. The successful candidate will also become a member of the Vienna Doctoral School in Cognition
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and educate students to do research relevant for the analysis and modeling of complex real-world problems arising in modern Statistical Data Science. KAUST (https://www.kaust.edu.sa ) is an
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electronics and electrical energy storage and conversion devices, within the EM3 team (Electronics, Microelectronics and Modelling for Multidomain Systems) of the UMR ICube laboratory. Grounded in a systems
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Institute of Veterinary and Animal Sciences are offering a PhD fellowship in immunology using zebrafish as a model commencing 1 January 2027 or after agreement. The project is part of the research
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environment focused on physics‑informed AI tools for materials design and characterization. In a collaborative project with industrial partners, you will work on developing physics‑informed models for heat
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of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world
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lines, Dean’s Office operational units, research administration financial oversight, faculty and physician compensation modeling, and long-term financial planning and capital strategy. The AVP/CFO ensures
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
-dimensional datasets. Knowledge of experimental design, statistical analysis, model validation, and reproducible computational research practices. Evidence of scholarly productivity through peer-reviewed
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Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Innsbruck (IQOQI-IBK) | Austria | 1 day ago
• Experience in data analysis and theoretical modelling of physical systems • Knowledge of the theoretical description of quantum systems in general and many-body systems in the context of ultracold dipolar
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Master programme. In terms of technical knowledge, we expect you to have: A strong knowledge of R (strong skills in data wrangling using tidyverse syntax and functions, working with quarto documents