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- 
                Field
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                ) develop novel performance metrics combining accuracy and explainability, to be tested across different AI model types; (2) devise new algorithms for selecting models optimised for holistic performance 
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                designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify 
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                data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category 
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                (or equivalent) in Computer Science, Information Technology or Electrical Engineering. - Knowledge of database modeling and federated algorithm technologies. - Proficiency in programming languages such as Python 
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                aim of this research is to develop new artificial intelligence algorithms that consume few computational resources. The person hired will focus their work on one or more of the following sub-lines 
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                computing for sustainable development, algorithms for energy efficiency, or AI for modelling social behaviour in relation to sustainability. Justification of duration A contract duration of three months is 
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                . Analysis of images will investigate the efficacy of manual digital approaches (e.g., Dot Dot Goose) and the development of a marine litter characterisation and quantification algorithm for automated analysis 
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                the EU Research Framework Programme? Not funded by a EU programme Reference Number 163249 Is the Job related to staff position within a Research Infrastructure? No Offer Description Design and 
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                to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics! Job description Bacterial and viral 
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                . Applicants with a strong background in optimization (including machine learning), algorithmic game theory, decision theory, computational social choice, social welfare, or fairness optimization are welcome