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members, including PhD candidates and postdocs. We are a collaborative group investigating the neural processes underlying human cognitive functions, including perception, attention, emotion, memory
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for multimodal brain-circuit analyses. Lead manuscripts and conference presentations, and contribute to grant applications and new research directions. Education Requirement: PhD and/or MD in neuroscience
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functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 3rd November 2026 Languages English English English Join the University of Oslo as a PhD Research Fellow
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the direction of the programme You may be a good fit if you: Hold a PhD in neuroscience or a relevant scientific discipline, with 3+ years of postdoctoral or industry research experience. Experience in
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integration models As a PhD researcher, you will: Support MRI and EEG data acquisition and optimise processing pipelines Manage, curate and integrate multimodal datasets (MRI, EEG, wearable sensors) Develop and
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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Posting Details Position Information Position Title Non-Tenure-Track Faculty, Department of Marketing Department Department of Marketing Posting Number F260098 Posting Link https
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-professor-in-cognitiv… Requirements Specific Requirements You have a doctoral degree (PhD) in cognitive neuroscience, AI, or a related discipline; A methodological focus on EEG and/or eye tracking is a plus
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using wearable electroencephalogram (EEG) during sleep. Our goal is to pioneer developments in wearable technology that integrate reinforcement learning to discover novel strategies for human interaction
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
network analyses, fNIRS, EEG/ERP, noninvasive brain stimulation, machine learning approaches or other related methodologies that provide mechanistic insight to advance our understanding of substance use