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devices. The ideal candidate will have experience working with platforms such as Silicon, Silicon Nitride, and/or Lithium Niobate. The successful candidate will contribute to the development, optimization
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levels of complexity present in real materials. The PhD student will focus on the molecular scale to model and optimize the optical and mechanical properties of both the photoswitch and the photomorphon
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This 3.5-year PhD project is fully funded and home students are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and
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to leverage machine learning approaches for the optimization of polymer properties and degradation profiles. The successful candidate will lead pioneering research in controlled polymer synthesis, employing
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Laboratoire Interdisciplinaire des Energies de Demain - Université Paris Cité | Paris 15, le de France | France | 21 days ago
. The SIMULACTOR project aims to develop an integrated multiscale approach to model the mechanical behavior of PPAs. Its objective is to understand and optimize PPA properties using a simulation strategy that spans
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Researcher (R1) Positions PhD Positions Application Deadline 8 May 2026 - 23:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework
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dedicated to soft robotics and advanced robotic systems within the DEXTER team at LIRMM in Montpellier, France. He or she will actively contribute to the design, fabrication, evaluation, and optimization
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The Faculty of Sciences and Bioengineering Sciences, Department Computer Science, is looking for a PhD-student with a doctoral grant. More concretely your work package, for the preparation of a
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from complex biological data (large-scale neuroimages, light and electron microscopy, animal behavior, histopathology, etc). Collaborate with scientists and researchers to design experiments and optimize
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The postdoc's primary mission will be to optimize feedback (critical incident technique) in high-security contexts using interview protocols developed within the framework of the scientific psychology