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• A strong foundation in mathematics, particularly in probability and optimization. • A PhD degree (or close to PhD completion) in engineering or management science degree, related
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-resistance phenotypes. You will gain experience applying AI, genomics, and bioinformatics, from foundational AI/ML concepts to hands-on application and optimization of DNA and protein language models
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and gradient-based optimization methods in optimization of complex structures are significant. The knowledge of programming languages, numerical methods, material properties including their tribological
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to conduct the research on development of analysis framework on how to build up a generic framework to use learning-assisted approach to solve various optimization problems Develop mathematical modeling
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, geometry, dynamical systems, optimization, topological data analysis, harmonic analysis, statistics, or mathematical aspects of machine learning are encouraged to apply. The position is particularly suitable
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5 Aug 2026 Job Information Organisation/Company INESC TEC Research Field Computer science » Informatics Engineering » Electrical engineering Mathematics » Applied mathematics Researcher Profile
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Programme? Not funded by a EU programme Reference Number DR/112/26 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and Natural Sciences
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Programme? Not funded by a EU programme Reference Number DR/114/26 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and Natural Sciences
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the scale of the single gene to field evaluation to define a framework for rational optimization of plant-mycorrhizal symbioses for more efficient P use in agriculture. The modelling component will
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Join Our Team at Centre for Disruptive Photonic Technologies, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore A Research Fellow position is currently