196 phd-cognitive-neuroscience positions at Chalmers University of Technology in Sweden
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? Join the Computer Vision Group as a PhD student, and be at the forefront of groundbreaking research in 3D scene analysis and generative diffusion models. Project description This PhD position offers
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Are you driven by the challenge of advancing the boundaries of machine learning and computer vision? Join the Computer Vision Group as a PhD student, and be at the forefront of groundbreaking
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--1-12939 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will work in the EU project GreenTurn that focuses on sustainable e-commerce and
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photonics, electronics, and sensor technology, but maybe also for energy harvesting and storage devices. We are looking for a highly motivated PhD student that wants to pursue forefront experimental research
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are looking for a highly motivated PhD student that wants to pursue forefront experimental research on ferroelectric nematic liquid crystals, with the aim to further increase the knowledge about the mechanisms
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responsibilities The overarching goal of this PhD-project is to pave the way for nutritious, tasty and safe seafood products from underutilized pelagic fish species such as herring and sprat. Fundamental knowledge
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, nutrition and health. We conduct fundamental and applied research, innovation, education and dissemination in Food and Nutrition Science with the aim to provide new knowledge and solutions that pave the way
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Nutrition Science with the aim to provide new knowledge and solutions that pave the way for a sustainable planet and healthy humans. Research topics span from food chemistry and food technology to molecular
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and Nutrition Science with the aim to provide new knowledge and solutions that pave the way for a sustainable planet and healthy humans. Research topics span from food chemistry and food technology to
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Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD student position in AI-driven optimization of variational algorithms for near-term quantum device