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at the interface of computational and pure mathematics, targeting foundational mathematical challenges relevant to the modern information society and geometric dynamical control in engineering. This project builds
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-Controlled Mental Health and AOD Services’ (https://www.latrobe.edu.au/arcshs/work/optimise-plus ). The Optimise+ project is a research study designed to build on the best parts of LGBTQ+ community-controlled
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include: Item response theory, causal inference in non-experimental designs, psychometrics, randomized controlled field trials, longitudinal and multilevel modelling, machine learning methods, artificial
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the upper segment of their class with respect to academic credentials. Master’s degree, or equivalent, in statistics or a closely related field with a documented competence in statistical theory and methods
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, Physics, or any related field Strong background in machine learning, PINNs and control theory Excellent verbal and written communication skills Proficiency in programming languages in Python and/or C/C++. A
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research into control theory of neural population dynamics. This position has the specific focus of developing ML methods to assess the feedback controllability of neural population dynamics recorded from
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to Algorithms and Back”. About the project/work tasks This project bridges two foundational fields in computer science and mathematics: Theory of Algorithms and Extremal Combinatorics. By integrating these areas
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good understanding of communication theory. Strong command of mathematics and simulation in MATLAB. Proven track record of innovation supported by publications in high ranked journals and conferences
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Max Planck Institute for the Study of Religious and Ethnic Diversity, Göttingen | Gottingen, Niedersachsen | Germany | 12 days ago
inequality, the erosion and resilience of democracy, and political conflict. The Institute advances social science theory through advanced empirical research on these themes. At the Institute, the Department
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design