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vision methods for analysis of the non-verbal communication of humans in a therapy setting (client + therapist). This includes working with human pose estimation, facial expressions and micro-expressions
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application! Do you have a background in machine learning and interested in telecommunications? You have a chance to contribute to development of sensing methods for new distributed MIMO systems. Your work
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(target journals: International Journal for Numerical Methods in Engineering – IJNME). Deep learning algorithms for high-temperature multiphase problems (target journals: Computer Methods in Applied
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options offered by The Texas A&M University System for themselves and their families, as well as numerous other benefit programs. https://www.tamus.edu/business/benefits-administration/ What you need
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the development of novel reconstruction methods that can concurrently estimate the sound speed and initial pressure distributions within tissue from PACT data. Reconstruction methods for ultrasound computed
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the University of Coimbra's Research Grant Regulations. Where to apply Website https://apply.uc.pt/ Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor Degree or equivalent
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, methods to neural population dynamic data manuscript preparation presenting research at lab meetings and scientific conferences contributing to grant proposals mentoring students Lab: https
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, Professional, and Computer Skills Location Bloomington Position Summary The Kelley School of Business at Indiana University, Bloomington is accepting applications for full-time Lecturer (open rank/non-tenure
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Position Details Position Information Job Title Craft Center Desk Support Appointment Type Student Employee Job Location Corvallis Position Appointment Percent 100 Appointment Basis 12 Pay Method
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional