19 phd-in-integrated-circuit-design Postdoctoral positions at Linköping University in Sweden
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PhD students. Our collaborative environment is multidisciplinary, fostering creativity and innovation. ( http://liu.se/loe ) You will work within the Electronic Plants group, led by Senior Associate
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: Structural integrity of materials is of primary concern in sustainable mechanical design, as more durable products impose longer product lives and allow the usage of less material. Accounting for structural
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step-change in organic semiconductor material design by directly harnessing the power of vibrational modes to improve their functionality in optoelectronic applications. This will be achieved by
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a PhD education on the evolution of ion channels. The experience and skills required are: electrophysiological techniques to study ion channel function calcium measurements ion channel evolution (e.g
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an international team led by Professor Klas Tybrandt and is part of the Laboratory of Organic Electronics (LOE). We develop composite materials, design concepts and devices for soft and deformable
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junior scientists, fellow postdocs and PhD students. Our collaborative environment is multidisciplinary, fostering creativity and innovation. http://liu.se/loe Our campus is located in central Norrköping
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characterization, integrating sphere measurements, etc.). Your research direction and work assignments The postdoc will join our ERC project focusing on dynamic optical nanoantennas and metasurfaces, for example
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arthritis. In the project, the scholar will obtain qualifications within among others Design, acquisition, and analysis of single-unit afferent recordings using microneurography Design, acquisition, and
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on generative AI for synthesizing data related to energy use. This interdisciplinary project integrates technical advancements in AI-based data synthesis with socio-technical and ethical methodologies and
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, raw materials, and wastes) and usually lack uncertainty quantifications. The goal of this project is to integrate probabilistic machine learning methods and models to accelerate CFD computations and