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modeling, environmental simulations, and digital twin systems. -Develop analytical tools, visualization platforms, and decision-support dashboards to improve research outcomes. -Ensure data quality through
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
note that your master’s degree must be equivalent to a Danish master’s degree (3 + 2 years). Certified copy of original Master of Science diploma and transcript of records in the original language
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of multi-petawatt laser technologies. The primary objective of the project is to exploit the theory and large-scale numerical simulations to design a laser-based optical system capable of efficiently
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 25 days ago
documents for their statements. False statements made by candidates will be sanctioned in accordance with the law. The jury will draw up minutes of its meetings, which can be consulted at the candidate's
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suitable for part-time employment. Starting date: 10.09.2025 Job description: You will have the following tasks: Modelling, design and simulation of shape memory alloy (SMA) microrobots Design and simulation
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, optimize the control algorithms and compare the results. The candidate should be able to develop software programs (patient simulator and graphical user interface using Matlab), to test and validate
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, optimize the control algorithms and compare the results. The candidate should be able to develop software programs (patient simulator and graphical user interface using Matlab), to test and validate
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simulation. The group also performs research on optoelectronics that are based on nanoparticles, offering unique opportunities to collaborate and to investigate the use of nanoparticles in Li-Ion batteries
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silicon waveguides with a nanometric core. This work will include the development and optimization of simulation tools for the design of these waveguides, combining numerical results with simplified models
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-driven simulations, optical remote sensing and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios. SEAGUARD aims to provide science-based recommendations