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funded by an NWO-M1 project and has a light teaching load (10%). As a PhD candidate, you will develop analytical theories and methods to investigate systems of reaction diffusion equations with nonlinear
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Nauki Polskiej” (https://www.fnp.org.pl/component/fnp_programs/program/first-team-feng/n… ). Principle investigator dr inż. Jakub Bogusławski Title of the project: Two-photon fluorescence lifetime
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rzecz Nauki Polskiej” (https://www.fnp.org.pl/component/fnp_programs/program/first-team-feng/n… ) Principle investigator dr inż. Jakub Bogusławski Title of the project: Two-photon fluorescence lifetime
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Application deadline: 01/12/2025 Research theme: Applied Mathematics, Continuum Mechanics, Nonlinear PDEs How to apply: https://uom.link/pgr-apply-2425 UK only due to funding restrictions. The
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Assoc. Prof. Francesco Da Ros, DTU Electro. Where to apply Website https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/… Requirements Research FieldEngineering » OtherEducation
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relatively energy-inefficient nonlinearities, e.g. compared to electronics. Resonant structures can enhance the nonlinear interaction and therefore increase the energy efficiency of the process. This PhD
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—such as bent, plateaued, and almost perfect nonlinear (APN) functions—and the design of linear codes with prescribed properties useful for cryptography, including minimal, self-orthogonal, LCD and optimal
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information For more information about this vacancy, please contact our secretariat, secr-es- … Where to apply Website https://www.academictransfer.com/en/jobs/355760/phd-position-on-nonlinear-vibra
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Systems”: Research focuses on model reduction in linear and nonlinear dynamics, developed within a framework of mechanics, applied mathematics, and physical sciences for engineers. • “Bioengineering
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 2 months ago
twins: a new paradigm in data-based engineering and engineered data. (No. ART-2018-109564). [2] Carlberg, K., Farhat, C., Cortial, J., & Amsallem, D. (2013). The GNAT method for nonlinear model reduction