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—such as visual navigation, object detection, anomaly identification, and compression—when using conventional versus event-based sensing modalities. identify application domains where neuromorphic systems
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samples; Support the definition and the development of ground-based capabilities for the receiving, handling, curation and analysis of samples; Support the development of novel curation technologies and
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the fundamental understanding of pesticide residues in soils through experimentation, modelling, and big data analysis. You will: Combine existing farm management, soil property and soil pesticide residue data
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data analysis using R; experience with spatial data; excellent communication and teamwork skills; strong organisational and time management abilities; willingness to support the field team when necessary
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
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, analysis and technical assessment of flight vehicles, including suborbital, entry/re-entry, space transportation and exploration vehicles. You are encouraged to visit the ESA website: https://www.esa.int
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, interviews, and data analysis to evaluate the effects of RIDE on self-reflection, job satisfaction, and teaching quality. Phase 2 – Testing & Implementing Strategies (6 months): Implement and evaluate up
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of opinions and neural networks? The analysis group of the Korteweg-de Vries Institute for Mathematics at the University of Amsterdam is inviting applications for a two-year Postdoctoral position in stochastic
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, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo