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and responsibilities: The researcher will be in charge of supporting the development and optimization of nanomaterial-based biosensing platforms for biomedical applications. The researcher will
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photonics and nanoelectronics, notably the development of components and systems for quantum information processing. The PhD will develop in several directions, all of them being entirely origina: • We will
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
analysis of mechanisms, mechatronic design, and robot architecture optimization. This PhD is part of a collaborative research project with the Gepetto team at LAAS-CNRS (Toulouse). The PhD candidate will
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19 Aug 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Electrical engineering Engineering » Electronic engineering Engineering » Computer engineering Computer
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for molecular systems and thin films in combination with AI-driven process optimization. Help us shape the future of chemical research! Self-driving lab platform for photochemical and porosity research Join a
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. The focus of this PhD position is the development, characterization and experimental evaluation of advanced sensing hardware. Signal processing and Artificial Intelligence are applied as enabling technologies
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
chromatographic purification. Crystallization and precipitation are alternative purification techniques that operate at substantially lower costs, but their process design and optimization is challenging due
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while maintaining computational efficiency through lower-fidelity simulation of non-critical regions, (ii) virtual sensing techniques for load and stress estimation from limited and optimally placed
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD position will be hosted at the Department of Mathematical
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of software infrastructure to optimize data workflows Developing analytical methods to integrate different types of sequencing-based DNA data. Developing computational models for prognosis and treatment