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the University of Strasbourg. This position at the interface between material science and pharmacology research will start the 31 May 2026. This is a full-time position for a maximum of three years. PhD researcher
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join a multidisciplinary research team at the interface between physics, engineering, and clinical research, including scientists, engineers, physicians, and PhD students. The position involves close
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Interfaces (Germany). The selected researcher will work on the development of different synthetic strategies for block copolymers based on limonene and other renewable monomers, aiming at the design of self
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23 Jan 2026 Job Information Organisation/Company University of Galway Research Field Biological sciences » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 17 days ago
the Agence Innovation Defense (AID) to leverage artificial intelligence in robotic teleoperation. Within this project, an objective is to develop a generic graphical and physical interface that combines
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Computer science » Programming Physics » Computational physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 Mar 2026 - 17:00 (Europe/Rome) Country Italy Type
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for a Doctoral Researcher (PhD student) to work on visual studies, design and user experience related to screen interfaces. This research is part of a project funded by the Academy of Finland called
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interdisciplinary research environment at the interface of computational mechanics, mechanical/civil engineering, and scientific machine learning. The PhD candidate will also have opportunities to present their work
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related to staff position within a Research Infrastructure? No Offer Description The Neuro-Symbolic AI Group at the IDIAP Research Institute operates at the interface between neural and symbolic AI methods
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-source interfaces. Investigate user‑friendly strategies for interacting with generative inference parameters and control mechanisms tailored to the target agricultural use case, supporting multiple