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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 5 days ago
Group Research Field Biological sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 7 Oct 2026 - 00:00 (Europe/Warsaw) Country Poland Type
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optimization of these building blocks are essential for achieving breakthroughs in data rate, power efficiency, scalability, and overall system cost. This PhD project focuses on the electronic integrated circuit
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-constrained devices such as wearables, smart sensors, hearables, and IoT nodes. While current deployment methodologies can optimize models before deployment, the resulting software remains static throughout
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
, their use in high-speed manipulation remains largely unexplored. This PhD project aims to develop robotic solutions that exploit compliant and flexible robots for rapid manipulation tasks, with experimental
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2026 (or as agreed). Description of PhD Project The PhD student will be responsible for leading projects focused on the development of novel computational and AI tools to improve our understanding
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Infrastructure? No Offer Description KU Leuven seeks a highly motivated PhD candidate for a fully funded international doctoral position within the Marie Sklodowska-Curie Doctoral Networks (MSCA-DN) project TURBO
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The Section for Structures and Safety at DTU Civil and Mechanical Engineering Department is looking for an ambitious, motivated and skilled PhD student eager to dedicate three years
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areas of nanoscience and nanotechnology. Job Title: PhD Student Department: Nanobioelectronics and Biosensors Description of Group/Project: The Nanobioelectronics and Biosensors Nanobioelectronics and
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to contribute to high-tech applications, state-of-the-art modelling or experimentation of advanced sustainable materials across the scales? We are looking for outstanding and enthusiastic PhD candidates, with a
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its inverse reconstruction. A key challenge is the data-driven design of the experimental setup: exploring how the choice of measurements and configurations can be optimized to extract the most useful