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Field
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. Our work will be informed by sound theories and supported by empirical data. In this project, we will use AI as an opportunity and address the challenges that emerge due to AI. Our goal is to conduct
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- evolutionary theories ● Interpretation and formatting of the results obtained (publications) ● Proficiency in programming languages (Bash, Python, R), code management tools and software environments (Gitlab
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cookie and refresh page to watch video, or click here to open video) About the position PhD project: Intra-body Semantic Communication Theory and Principles for Receiver Design This PhD project aims
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evolutionary basis of human cognition—including language, working memory, theory-of-mind, and the specialized brain networks supporting these processes. One candidate will focus on the genetics side
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at the University of California, Irvine (UCI) invites applications for a research position in Energetic Particle (EP) Plasma Physics. The primary area of research will be in validating codes that predict EP physics
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are at the forefront of knowledge nationally and internationally within their fields and who master the theory and methods of the field. We are announcing three positions within each of the three subject areas of
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): Molecular dynamics (MD) and Density Functional Theory (DFT); Protein engineering; Aptamer design/optimisation; Molecular biology; Graphene. DC13: Structural engineering of bioreceptors for graphene. Engineer
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decisions between UAV–USV agents, using principles from game theory and multi-agent systems, to optimize cooperation and dynamic task allocation. Signal processing and control algorithm implementation
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risks, the candidate will develop theory-grounded questionnaires to be administered across three countries using online surveys. During this 4-year-long project, the PhD student will build on the latest
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encouraged, and theories and methods from other fields within art, science, or technology can support the project, provided that artistic practice remains at the core. Projects with a primary focus on methods