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material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics with realistic material constraints and
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differentiated lessons, assignments and assessments. Utilize relevant technology and resources for optimal engagement and differentiation. Provide timely, appropriate, and actionable feedback to students
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23 Jan 2026 Job Information Organisation/Company Public Works Research Institute Research Field Engineering Architecture Technology Physics Mathematics Astronomy Geosciences Chemistry Researcher
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degrees of understanding in the mathematical / mathematized science. Application deadline: April 10 For updates, please also check https://sharedocs.huma-num.fr/wl/?id=vMOHFDMLNLGROARW83MOznG7tcKvBd2u
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is home to a consortium of postdoctoral fellows who provide modeling expertise for a wide range of projects as integral members of those research teams. Unit URL https://imci.uidaho.edu/ www.uidaho.edu
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conferences Your Profile: You have an excellent Master’s degree in a relevant discipline such as computer science, mathematics, engineering, or the natural sciences, preferably with a completed PhD or an
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. Mathematical optimization. Professional Experience: Experience in functions similar to those described will be valued, specifically in the development of research activities, both in the university and
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Optimal Transport for Optimization and Machine Learning School of Engineering Sciences at KTH Project description Third-cycle subject: Applied and computational mathematics The project focuses on applying
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methods from metric analysis, the theory of currents, fractal geometry, and the Calculus of Variations. Where to apply Website https://lavoraconnoi.unitn.it/en/post-doc-assignments/department-mathematics-ca
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methods from metric analysis, the theory of currents, fractal geometry, and the Calculus of Variations. Where to apply Website https://lavoraconnoi.unitn.it/en/research-assignments/department-mathematics-ca