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will be committed to maintaining high standards of organisation, documentation, and laboratory practice. A willingness to handle human tissue samples and contribute to sample tracking, processing
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manage a research project, including a research budget. A track record of collecting human data, especially eye tracking data would be an advantage. The closing date for applications is 12.00 midday on 23
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also be able to undertake research based on their academic expertise on specific themes and objects in the exhibition and accompanying catalogue. This is an excellent opportunity for an advanced doctoral
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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