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- Delft University of Technology (TU Delft); Published 11 Nov ’25
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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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quantum information, develop techniques for quantum control and measurement, build quantum computing hardware and software, and explore novel applications. Our main interest is to propose quantum algorithms
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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Research Associate position for an accomplished and motivated candidate. Funding is secured by a U01 NIAID award with a period of performance up to 5 years. ANBM is actively developing a point of care
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Postdoctoral Research Associate position for an accomplished and motivated candidate. Funding is secured by a U01 NIAID award with a period of performance up to 5 years. ANBM is actively developing a point of
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) and Chemical C Computational (CC) teams at UM6P. The work aims to develop robust computational models to capture the Multiphysics behavior— including fluid flow, heat transfer, and reaction dynamics
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for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section
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RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment
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, and improve prediction accuracy - develop Machine Learning and AI algorithms for crop management, yield predictions and decision support systems - prepare manuscripts for peer-reviewed publications
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navigation algorithms and machine learning models on physical robot platforms. We are particularly interested in candidates with expertise in generative AI and curriculum learning applied to robotics, as