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friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description We are seeking a strong quantum computing researcher to develop quantum algorithms for generative
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 12 hours ago
, with application to biomedical flows (e.g. microcirculation) it is now intended to develop an improved algorithm for advanced particle tracking using machine learning. The algorithm should be tested in
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algorithm and infrastructure integration, with responsibilities spanning optimization tuning, heuristic development (e.g., Tabu Search), performance diagnostics, and production-level feature development
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a Research Engineer to help us develop the next generation of autonomous systems and algorithms for Earth and space applications. Our group doesn't just develop new theories, but puts them to the test
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experiments, data analysis using Machine learning techniques, and report writing. Essential Job Duties Algorithm development. Data acquisition. Data analysis and machine learning. Report writing. Basic
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resettlement. The position is part of an innovative project using machine learning and matching algorithms to improve the resettlement process for refugees and asylum seekers. We are developing GeoMatch , a
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Research Associate (Computer Engineering/Computer Science/Engineering/Mathematics/Biology/Chemistry)
. Key Responsibilities: Develop deep learning models and algorithms for biomedical and healthcare applications. Data processing for training of deep learning models. Mentor junior research lab members in
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proofs obtained via state-of-the-art theorem provers and model-checkers. There will be a need to develop novel synthesis algorithms that can scale. There will be a need to fine-tune foundational models
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including language understanding, generation, explainability and reasoning, and dialogue systems. Efficient algorithm development for air traffic conflict resolution. Develop and evaluate AI models, including
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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity