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community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications
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syllables and sacred sounds are embedded within local sonic ideologies and musical genres. This research strand also studies inter-religious tensions and controversies surrounding competing soundscapes and
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-edge neuroimaging technologies such as EEG, fNIRS, and a 3T MRI scanner, alongside embedded forceplate treadmills and motion capture systems. This is a primarily on-site role, with some flexibility, to
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, inclusive employment policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable
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., Python, C++, or embedded systems). Strong interpersonal and intercultural skills, with the ability to engage rural communities. Willingness and ability to travel frequently for extended fieldwork in Kenya
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-edge neuroimaging technologies such as EEG, fNIRS, and a 3T MRI scanner, alongside embedded forceplate treadmills and motion capture systems. This is a primarily on-site role, with some flexibility, to
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working arrangements. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process
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. Posting Summary Rutgers, The State University of New Jersey, is seeking a Postdoctoral Associate for the New Jersey Scholarship Transformative Education in Prisons (NJ-STEP). NJ-STEP seeks a Postdoctoral
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, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications PhD in Computer Science
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publication record is encouraged and previous experience in areas such as Distributed control and optimization, Swarms, Autonomous Robots, Embedded systems development, Collaborative and adversarial control