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for personally experienced past events, or episodic memory (EM), using a combination of behavioral, neuroimaging (fMRI) neurophysiology (EEG), and neuromodulation (TMS) methods. Traditional imaging studies focused
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for conditions such as otosclerosis. The position requires expertise in medical image analysis, proficiency with neural network architectures (particularly CNNs for segmentation tasks), and experience processing
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. The knowledge gained using our “tumor ecology” paradigm will be translated into improvements in cancer prevention, diagnosis and therapy. Responsibilities Perform cell culture and tumorigenic assays with cancer
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Microanalytical and Imaging Consortium (SENCR-MIC) and Interdisciplinary Materials Research and Education Laboratory (IMREL). Primary Purpose of the Position: The position’s primary purpose is to conduct research
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are separate from the natural world – upon an increasingly dominant paradigm in environmental science – social ecological systems, which acknowledges that human social systems are part of natural ecosystems
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in sustainability, photonic and quantum technologies, new nanostructured materials, sensing, imaging and clean energy. The group adopts an interdisciplinary approach to provide leading-edge research in
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
develop our state-of-the-art imaging systems by optimizing the hardware and integrating real-time data processing and analysis through machine learning techniques to achieve precise characterization
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potential applications in audio and music processing. Standard neural network training practices largely follow an open-loop paradigm, where the evolving state of the model typically does not influence
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laboratory is seeking a motivated and highly skilled post-doctoral researcher to join our dynamic laboratory dedicated to studying HIV-1, with a particular focus on development of novel imaging approaches
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated