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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Associate to develop novel AI-based generative design methods for heat exchanger
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models. Knowledge base of multivariable and vector calculus, as well as geometric algebra. Familiarity with machine learning and algorithms. Knowledge and proficiency with protein Large Language Models
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., VAEs, GANs, diffusion models) or graph/equivariant neural networks for materials (e.g., CGCNN, SchNet, NequIP), and related tooling (e.g., PyTorch Geometric, pymatgen, ASE) is beneficial but not required
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. The study will include a detailed evaluation of geometric and material parameters influencing charging and discharging performance to identify configurations that maximise energy efficiency and heat-transfer
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of the following fields: algebra, algebraic geometry, differential geometry, algebraic topology, complex geometry, quantum topology, geometric analysis, operator algebra, number theory, mathematical aspects
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(Podostemaceae) in Neotropical rivers migrated and evolved as the Isthmus of Panama formed and develop the first model for the tempo and pattern of formation of riverine connections across the Isthmus
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. Further details on the CHIME mission can be found at: Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship
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structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving
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researcher will be responsible for conducting advanced research studies about railway track monitoring, data acquisition and performance modelling for improved decision-making on design and maintenance
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Electromagnetic (EM) Theory / Modeling Position Title: Postdoctoral Scholar Position in Mathematical Physics and Electromagnetic (EM) Theory/Modeling Position Type: Fixed Term (Fixed Term) Applications will be