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shall be developed. The work will be in close collaboration with the PhD student working on fundamental solid-state theory of the same materials. Your tasks Your job tasks includes the following
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programs. Alternatively, Mathematics, Computer Science, Computer Engineering, Electrical Engineering, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent
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that allow you to: understand and apply quantitative (statistical, econometrical, analytical) methods, understand regulation-related theory and practice; motivation to do high quality research with the aim
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Background Scholarship code: IND-25122 Expressions of interest - open until filled. This is an industry-linked PhD scholarship. This scholarship is created by La Trobe University in collaboration
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are offering a fully funded PhD position in the field of Physics-informed Learning-based Control. This interdisciplinary research area bridges control theory, machine learning, and physics-based modeling
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that enable interpretable models to learn from deep representations. In this project, the researcher will develop theory and algorithms for (hybrid) model selection that allows to exploit domain knowledge
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: Master's degree in Information Technology or equivalent education Knowledge of systems theory, systems modelling and simulation methods Knowledge of digital twin concepts, architectures, and applications
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will provide critical insights into how accents shape communication and behaviour in diverse contexts. Job description: The successful candidate will receive interdisciplinary training in theories and
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Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We are looking for a motivated PhD candidate to join the
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projects under senior supervision (2) Exchanging knowledge with the scientific community and the general public (3) Network-wide training in theory and methods (4) Complementary training courses (5