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(LES) results. Key Responsibilities: Develop and refine numerical algorithms for real-time wind field forecasting. Validate forecasting models against high-fidelity LES data and field measurements
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developers who work together to solve problems in the following areas: Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points
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the development of Explainable AI Systems that can provide explanations of AI agent decisions to human users. Past work on plan explanations primarily focused on explaining the correctness and validity of plans. In
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, quantitative analysis, performing medium-scale microscopy experiments, Python or Matlab programming, synthesizing information from the published literature, and use and development of machine learning algorithms
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efficiency-oriented methods, and disseminating research outcomes through publications, collaborations, and open-source contributions Key Responsibilities: Develop accelerated AI/ML and robotics algorithms
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to the academic development of the Programming area within the Programme and participate in high-quality research activities in areas related to theoretical computer science, algorithms, data structures
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will develop an approach
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developers who work together to solve problems in the following areas: Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points
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of computer vision algorithms, with a focus on assessing performance in edge deployment settings. Their role will involve supporting model development, running experiments, and analyzing results to evaluate
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our biofeedback algorithms and, after small N assessments, contribute towards setting up a large-scale trial to assess the efficacy of the newly developed methods. For this you will interact extensively