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Quantum computing for solving differential equations and data-driven scientific computing problems (S3.5-MPS-Kyriienko) School of Mathematical and Physical Sciences PhD Research Project Competition
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on model development, robustness, and long-term reliability. You’ll have access to Susquehanna’s extensive proprietary datasets and large-scale computing infrastructure—including a rapidly growing
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technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial
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faculty of Engineering and Architecture, the IDLab (Internet technology and Data science Lab, UGent-imec) research group performs research on (1) Connectivity and (2) Data Science & Artificial Intelligence
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) batteries for transport systems. You will combine hands-on experiments with physics-based data-driven modelling to understand how Li-S batteries perform in real applications and develop suitable battery
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Drucken The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a doctoral student to work on the new generation of prediction methods for the complex fluids and
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of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new
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October 2026 Apply now The Department of Earth Sciences is looking for a highly motivated PhD candidate with an MSc background in Earth Sciences, Civil or Hydraulic Engineering, or other appropriate
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approaches (ML&AI), data-driven approaches, multi-objective and multi-disciplinary optimization, constraint handling methodologies, and systems engineering. Engineering background in energy conversion systems
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Gothenburg, Sweden. With around 50 staff members, including faculty and doctoral students from engineering, natural sciences, and social sciences, the division promotes challenge-driven