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Field
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competitive, scientific environment? If you are motivated by the societal impact of science and technology, if you seek an opportunity to play an active role in the development of emerging technologies
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at the development of a rapid bacteriophage-based and culture-independent point of care (POC) device to profile nosocomial bacteria in respiratory tract infections. 2. Applicable Legislation Decree-Law no. 57/2016
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. Next to your PhD research, you will contribute actively to the activities of IViR, for instance by participating in workshops, organizing lectures and contributing to joint activities. To develop your
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, and law, where inaccurate or misleading responses –- known as "hallucinations" –- can have serious consequences. ARMADA seeks to develop solutions that make these AI systems more trustworthy, coherent
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to learn, thriving in dynamic, fast-moving environment Strong Trading Interest and drive to develop a deep mental model of microstructure and market intuition By applying to this role, you will be
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model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate
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to learn, thriving in dynamic, fast-moving environment Strong Trading Interest and drive to develop a deep mental model of microstructure and market intuition By applying to this role, you will be
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unique opportunity to contribute to the technological foundations for tomorrow’s machine learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential
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impact, leveraging one of the highest-quality financial datasets in the industry. What You’ll Do Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and
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comparative framework across country case studies. Communications & Engagement Present research findings at international conferences and workshops. Author blog posts and contribute to the project’s website