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studies independently, working with diverse datasets, developing algorithms and decision rules, and contributing to the refinement of data-driven intervention strategies. Tasks As a postdoctoral researcher
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intelligence and machine learning technologies/algorithms Background in software engineering and programming languages, data analysis and BI tools Proven experience in technical project and service management
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Computer Science, Information Science, and Artificial Intelligence and a number of research Master's programmes in these fields. It employs over 200 people, working in four divisions: Algorithms, AI & Data Science
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on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
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Recognition Machine Learning and Pattern Recognition are subareas of AI aimed at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include
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algorithms, AI-driven applications and generative AI, exploring how legal mechanisms can prevent and remedy systemic biases that adversely impact LGBTQ+ individuals and which legal routes are available
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for recognition of planetary materials from multispectral datasets. Interns are sought to contribute to the ongoing development of Machine Learning algorithms for recognition of planetary materials from
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Division, Systems Department, Directorate of Technology, Engineering and Quality. The Future Engineering Division, in support of the programme directorates, is responsible for developing and providing
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of the Agency. Potential areas include, but are not limited to: algorithmic engineering and high-performance computing; design and analysis of algorithms and data structures; discrete optimisation and operations