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Field
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behaviour: (multiple) market places, collectives and networks. Simulations: computer experiments, digital twins, hardware in the loop experiments, computational economics/social sciences, network flows, agent
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. Empirical/experimental design and emergent behaviour: (multiple) market places, collectives and networks. Simulations: computer experiments, digital twins, hardware in the loop experiments, computational
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) for engineering systems and structures, as well as expertise in machine learning, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R
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degree in engineering, mathematics, or a related field, with a strong background in prognostics and health management (PHM) for engineering systems and structures, as well as expertise in machine learning
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are looking for applicants who have or expect to receive a PhD degree before joining the project. Applications should have a relevant track record in multimodal machine learning, preferably in the context
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to apply Website https://www.academictransfer.com/en/jobs/354994/postdoc-neuro-inclusive-partici… Requirements Specific Requirements You have a PhD in Industrial Design, Human–Computer Interaction, Design
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perfect for you. We are looking for a junior lecturer who will support group classes (seminars and computer lab sessions), evaluate assignments, supervise teaching assistants (TAs) and coach students during
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). The emergence of data-driven techniques (broadly grouped under the term “machine learning”) challenges the traditional foundations of controls and represents an alternative paradigm that cannot be ignored
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are looking for a junior lecturer who will support group classes (seminars and computer lab sessions), evaluate assignments, supervise teaching assistants (TAs) and coach students during their thesis projects
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such as data science, AI, computer science, machine learning, Earth system science, climate etc., with a thesis subject relevant to the description of the tasks outlined above. Additional requirements In