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the following traits: Educational background: A master’s degree in computer science/artificial intelligence with a solid grounding in optical and spectroscopic instrumentation, such as hyperspectral, NIR, and
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physical and social context, prior interactions, rank differences, and kin relationships. Our goal is to study the importance of different information sources in great ape communicative interactions
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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spatial and temporal patterns) to understand the effects of varying climatic conditions on post-fire recovery, and evaluating spatial recovery patterns across different elevations, slopes, and forest types.
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market data and revise strategies Breadth. Explore all aspects of quant work and different areas of Susquehanna’s business Education. Participate in a comprehensive education program and receive
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market data and revise strategies Breadth. Explore all aspects of quant work and different areas of Susquehanna’s business Education. Participate in a comprehensive education program and receive
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Job Description The Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), Odense, invites applications for a fully funded PhD position in the foundations
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Overview Want to make a difference protecting children? We’re seeking a passionate, innovative student to tackle a critical challenge: preventing and reducing infectious intestinal disease (IID) in
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Behaviour-Based Anomaly Detection
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vary across domains due to the different nature of the downstream decision-making tasks that the visualization results will serve. An important research question is how to enable a representation