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Field
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team at the University of Twente, you adapt existing quality control algorithms and develop additional validation methods. You participate in recurring online meetings with scientists and technicians
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on integrating an agentic platform for electrocatalyst discovery and developing novel machine-learning algorithms (e.g., reinforcement learning) for materials discovery and process optimization. The candidate will
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up with the data-driven solutions using advanced data science techniques such as Deep Learning, Machine Learning Algorithms, Natural Language Processing, etc. The Ubicomp lab is looking for a key role on
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process? The primary focus will be on algorithm development, followed by their demonstration at synchrotron experiments. You will start working with real already existing experimental datasets and will have
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temporal resolution, spatial resolution, and radiation dose trade against one another, and what semiconductor dynamics can be observed? The primary focus will be on algorithm development, followed by
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worldwide. Your work will include: Apply existing machine learning algorithms for automated detection of CO plumes in satellite observations Building a global catalogue of CO emission events from 2018 onwards
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 months ago
algorithm performance. You will analyze assignment data from December 2025 to the present to identify workload distribution patterns and refine the algorithm using mathematical modeling, programming, and
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-driven surrogate models for real-time reconstruction and forward simulations. Create numerical algorithms for physics reconstruction using sparse data. Implement assimilation pipelines which integrate
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. Utilize machine-learning and data-mining approaches to recommend bioengineering interventions. Develop new machine-learning algorithms. Integrate machine learning techniques with mechanistic modeling
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optimisation, algorithm design and high-performance computing, with application to airport innovation. Successful candidates will join an active group of Principal Investigators and researchers to work within