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practical guidance for AI development or governance. To bridge this gap, our goal is to: (a) pioneer new normative criteria for AI explainability, drawing on theories of evidence and explanation in philosophy
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://www.planttip.dk/ In this already ongoing project, we are now moving into the phase of building the model, using available knowledge, data, and theories on consumer behaviour and change. Here, it will be especially
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programming, e.g., in Python, PyTorch, TensorFlow, or similar. Curiosity and willingness to work with researchers from a heterogeneous group, with core expertise in communication theory, networking, information
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Method, potential flow theory and Green's function formulations • Conformal mapping, in particular Schwarz–Christoffel transformations • Viscous-inviscid interaction and integral boundary layer
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candidate has a research track record at a high international level (reflecting the academic age of the applicant) and experience in theory, development, or usage of formal methods. Fluency in English is
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PhD in Control Engineering, Cyber-Physical Systems, Electrical Engineering or a closely related field, and you have a solid foundation in control theory and dynamic systems. You have experience with
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Sciences. Combining social science and data science theories, methods, and paradigms, it aspires to conduct cutting-edge and creative interdisciplinary research, teaching, and outreach at the crossroads
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with deep knowledge in macroecology, rewilding, megafauna ecology, vegetation dynamics, ecological novelty, biodiversity theory, remote sensing and global change biology. The senior scientist team offers
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solid understanding of electromagnetic theory, microwave principles, and computational electromagnetics. You are comfortable working with full-wave simulation techniques such as finite-difference time