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Field
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. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department of Informatics at the University of Oslo. The DSB research group has seven full
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. Working with manuscripts is not a pre-requisite, but they should be able to demonstrate building and publishing computer vision approaches across a variety of imaging domains. The role holder will work with
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, behavioural training, and neural circuit dissection techniques, as well as experience with in vivo electrophysiological recordings or imaging approaches with single-cell resolution. The postholder will be
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Active Matter Physics Apply for this job See advertisement About the position A PhD Research fellowship in in Theoretical and Computational Active Matter Physics for Early Embryo Development is available
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academic position at King’s College London. Fellows will benefit from King’s world-class bench-to-bedside ecosystem, with access to outstanding facilities such as advanced imaging platforms (e.g., whole-body
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on the developed models for agencies/commercial partners Supervise junior researchers and master students Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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of Energy of Petroleum Engineering. This is a trainee position that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired
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Area Plant & Crop Sciences Location Sutton Bonington Salary £31,387 to £46,485 per annum, pro rata depending on skills and experience (minimum £35608 with relevant PhD). Salary progression beyond
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2028 Background We are seeking a highly motivated Research Fellow to drive the underground infrastructure theme within the Quantum Technology Research Hub in Sensors, Imaging and Timing (www.quisit.org
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
Meghan Miller’s position will be undertaking research for the observational seismology program at RSES with a focus on data acquisition for Earth Imaging. Candidates who have previous experience with