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Field
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drought early warning and monitoring system for large-scale river basins. The project will explore both data-driven and model-based approaches for drought predictions, paving the way for a continental high
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is decentralized or only partially observable? Depending on the research direction, you may employ techniques from mathematical modelling, machine learning, uncertainty quantification, distributed
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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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30 Jun 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mathematical Sciences Research Field Mathematics Researcher Profile
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digital systems. This PhD project translates the principle into a compact, passive optical solution. The project will combine: Mathematical modelling and simulation of optical/photonic structures and
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techniques from mathematical modelling, machine learning, uncertainty quantification, distributed decision-making, or other data-driven approaches. Your duties and responsibilities in this 4-year project
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of the PhD fellowship is at the interface of numerical mathematics, agentic and generative AI models, and computer science. A successful candidate will be offered a three-year position, which could potentially
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of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from Mathematics (Inverse Problems), Computer Science (Machine
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authenticity of visual media and provide understandable evidence for model decisions. The candidate will investigate how general-purpose pretrained visual and multimodal representations can be adapted
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25 Jul 2026 Job Information Organisation/Company University of Antwerp Research Field Computer science » Informatics Computer science » Other Engineering » Other Mathematics » Computational