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a technological infrastructure capable of efficiently integrating edge devices, AI algorithm pipelines for behavioral and postural analysis, and cloud services for centralized data, notification, and
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for the group of subjects related to data structures and algorithms at the Department of theoretical and applied foundations of information sciences Where to apply E-mail natjecaji@foi.unizg.hr Requirements
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of the Environmental
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 1 month ago
personalization algorithms. The project will leverage EvidenceB's extensive deployment infrastructure to work with authentic large-scale educational data and validate innovations in real classroom settings. In
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algorithm-driven sensing systems, remote sensing and multi-modal sensor integration Applicants do not need to cover all areas listed above but should bring strong expertise in at least one and a broad
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Fellow to advance the development of grid
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programming languages like Fortran, Perl, HTML/CSS, and Python is helpful. Experience working with large data sets and complex statistical algorithms is strongly preferred. The applicant should be able to solve
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record of analysis, interpretation and presentation of –omic related datasets, which can additionally include algorithm, pipeline, or database development. The ideal candidate will have developed a method
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, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault
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implement algorithms for image processing and analysis of multisensor data (RGB, LiDAR, hyperspectral). Design and implement explainable AI (XAI) models for the detection and quantification of grape berry