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analysis, AI algorithm modeling, testing, and integration into functional systems within the project scope. Specifically, in activities related to behavior modeling from IoT device data, generative AI
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computationally efficient algorithms. They will work with machine learning, deep learning, and NLP tools. Funding This contract is part of the GAP project (PID2022-139308OA-I00), funded by MCIN/AEI/10.13039
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for the processing and analysis of multimodal spatial biology datasets. Design and apply advanced image analysis algorithms for cell segmentation, feature extraction, and debarcoding for lineage tracing. Statistically
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of an image analysis algorithm for particle tracking and speed quantification. Requirements for candidates: Essential: BSc and MSc in biochemistry, biology, biophysics, biotechnology, biomedical engineering
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to improve device autonomy. Tasks related to WP6: Bench and field tests, validation, assessment - Develop and apply artificial intelligence (AI) algorithms for the analysis of large volumes of biometric data
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, including data obtained from camera trapping and large databases containing data on the movement of species tracked by GPS. · Statistical analysis of data in R, which includes programming of algorithms
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. Minoru Otani). The post holder will undertake the following tasks: Contribution to the design, implementation, testing and demonstration of new methodologies and algorithms for the study of electrochemical