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access to state-of-the-art facilities in sound/video recording, motion capture, eye tracking, physiological measurements, various types of brain imaging (EEG, fMRI), and rapid prototyping and robotics
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institution Academic background in biomedical sciences, biological sciences, or life sciences. Good mastery of language with strong communication skills and a keen eye for detail. Able to work independently
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describing their progress and activities. Mandatory requirements Candidates must hold a PhD in Mathematics Education or a closely related field by the start of the fellowship. How to apply Applicants must
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spearhead technical development, data analysis, and publication efforts for a student-led initiative using OpenBCI hardware, EEG recordings, eye-tracking integration, and machine learning to enhance neural
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, PhD students, and/or project volunteers. About You You will have or be close to the completion of a relevant PhD/DPhil, in applied health research / mental health research together with relevant
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, logic circuits and probabilistic circuits) publishing papers in leading AI/ML conferences and journals collaboration with project partners within BilAI supervision of Bachelor, Master and PhD projects
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new studies, proposals and routes to impact, and collaborate closely with PhD students, postdocs, industrial partners and international collaborators to advance OPV towards terawatt‑scale deployment
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experts in iron metabolism and absorption in the context of drug discovery. Applicants should have a PhD in Chemistry, with a strong background in synthetic methodologies and analytical techniques
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. We are seeking an energetic and independent researcher who has a strong background in quantitative analysis of social surveys. To qualify for the position, a candidate must have completed a PhD by the
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samples and characterize dynamic behaviors. The candidate will be part of a highly collaborative team and actively interact with other groups, including optics, computation, and time-resolved research