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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 28 days ago
the reference COMPETE2030-FEDER-00683900, Operation No. 15733, funded by COMPETE2030 and national funds (FCT) under Call for Applications no. MPr-2023-12. Scientific Area: Neuroscience and Neuroengineering 1
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areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics Familiarity with
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for Real-World Optimisation and AI Applications Brain-Computer Interfaces & their Applications Computational Neuroscience: Reinforcement Learning and Microzones in the Cerebellum Explainable Generative
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by PI Dr. Jessica Hsu (starting January 2026), is seeking highly motivated and creative postdoctoral fellows to join a research program that integrates molecular imaging and nanomedicine, leveraging
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The Department of Electrical & Computer Engineering (ECE) at The University of Alabama is recruiting motivated PhD students to join our cutting-edge research program.Qualified applicants can
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
(OCT) imaging, then we have the ideal opportunity for you. Come and be a part of the “Table-Top Synchrotron” project and one of the world’s strongest groups in this field in our quest to develop
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novel strategies to treat seizures and cytotoxic edema, especially in neonates. To reach this goal, we are addressing the following questions: 1. How does the brain inhibitory system work at the cellular
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equivalent) in Psychology, Neuroscience, or a related field. Candidates should have strong skills in statistics. Programming skills (e.g., Python) and experience with PET or MRI imaging and data analysis
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the design and testing of a prototype, this project will offer a robust theoretical and practical model for museums to address difficult pasts more effectively and resonantly in the digital age. This PhD