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quantitative and programming skills along with a track record of designing neuromodulation and neuroimaging studies in healthy participants, of using computer programs to design experimental paradigms, analyse
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motivation, learning and decision making. You will have strong quantitative and programming skills along with a track record of designing neuromodulation and neuroimaging studies in healthy participants, of
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completion of, a relevant PhD/DPhil together with relevant experience. You will have the ability to lead and report an original research programme, as shown by a documented research track record, including
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are desirable, as is a proven track record of deploying machine learning models on real-world robot platforms. Informal enquiries may be addressed to Prof. Ingmar Posner (email: ingmar@robots.ox.ac.uk) For more
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excellent academic track record in topics relevant to robot perception. A specific focus on visual inertial odometry (VIO), mapping (SLAM) and 3D reconstruction is desirable. Informal enquiries may be
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completed, or be close to completing, a PhD/DPhil in a relevant quantitative field together with a demonstrable track record in studying humans and machine learning models. Advanced programming and
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, microscopy, flow cytometry and quantitative real-time PCR. You will have a strong track record of writing papers as evidenced by publications or submitted manuscripts in scientific journals, and have evidence
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proven track record of interdisciplinary research at the intersection of information-theoretic approaches, EEG data collection and analysis (including SSVEP), and altered states, as well as experience in
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practice and knowledge of meditation traditions. You have a proven track record in interdisciplinary research, combining computational modelling, whole-brain fMRI analyses, altered states of consciousness
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-particle tracking and single-molecule FRET is essential. Finally, experience in image and time-series analysis is also essential. You should have excellent communication skills and enjoy working within