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Field
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work to segmentation algorithms with computer scientists. It is a preference if you additionally have experience in performing interdisciplinary research together with another scientific specialty
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data, code, models, and documentation in a way that supports findability, accessibility, interoperability, and reusability. A willingness to learn new algorithms, tools, and developments in AI, including
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(Efstratios) Gavves, part of VISLab (Video & Image Sense Lab ) at the Informatics Institute (IvI), Faculty of Science, University of Amsterdam. CyPhai pursues a single north star: algorithms that understand
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translate abstract democratic, organisational, and societal values such as algorithmic fairness, transparency, explainability (XAI) into rigorous, quantifiable engineering metrics without sacrificing
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experiences (e.g., output of AI algorithms, managing local development environments) Experience with backend systems, software design and architecture principles, different architectural patterns, and data
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, implementable solutions. This output combines novel water quality sensors, microbacterial contamination detection methods and deep learning based algorithms to track and predict the quality of the produced water
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. You will develop and lead an independent research programme in one or more of the following areas: Hardware implementation of advanced signal-processing and machine-learning algorithms, including
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the project into tangible, implementable solutions. This output combines novel water quality sensors, microbacterial contamination detection methods and deep learning based algorithms to track and predict
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machine-learning algorithms, including systems-on-chip. Energy-efficient hardware solutions for signal processing, machine learning and control in smart sensors and implantable medical devices. Novel
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, algorithms and products: undertaking advanced research activities addressing major observational gaps and scientific priorities in EO. The research will cover a wide range of innovative topics and missions