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Field
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and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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reputation for its broad research focused on long-term processes, where economic theory and quantitative methods are important methodological tools. Strong research areas at the department include economic
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imaging, NGS, etc.) shared between the research groups at BRIC (www.bric.ku.dk) and the neighbouring Finsen Laboratory. We have weekly journal clubs, data clubs, seminars with invited speakers and a young
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the suitability and potential benefits of LLMs (and other machine learning models) in these tasks. These investigations include the feasibility, practicality and success evaluation of prototype implementations
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method for non-invasively modulating brain activity. Briefly, Focused Ultrasound has recently emerged as a ground-breaking new non-invasive, image-guided therapy to treat Essential Tremor (ET) and
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biological systems. In particular, IEMN develops advanced technologies for electrophysiological recording and next-generation brain–computer interfaces. The Lille Neuroscience & Cognition Center (LilNCog
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
experience in Computational Bioimaging Methods based on image-processing algorithms for the automated integration of cellular phenotypic and molecular characteristics. Previous involvement in Research Projects
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. The doctoral candidate will be enrolled in the PHENIICS Doctoral School (Physics: Hadrons, Energy, Nuclei, Instrumentation, Imaging, Cosmos, and Simulation) at Université Paris-Saclay. This doctoral school
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. In addition, the presence of surface coatings and MLI introduces another layer of complexity to the physical and metallurgical understanding of the CCDS process in vacuum. On the physical side
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of video and low-cost sensor technologies to capture subtle movement patterns, creating a rich dataset for AI-driven analysis. Machine learning, deep learning, computer vision and multimodal AI methods will