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call for application is open for 1 (one) Research Grant within the scope of the R&D institution University Research Center in Psychology – CUIP, Autonomous University of Lisbon (UAL), project reference
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, R, Python, STATA). Experience managing and analysing large, complex datasets. Strong communication skills to translate complex methodologies for diverse audiences. A collaborative mindset and ability
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at UQ . Questions? Contact A/Prof Patrick Harris at p.harris@uq.edu.au for role-specific queries. For application support, email recruitment@uq.edu.au and quote job reference R-55549. Want to Apply
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/ajo/jobs/30668 Application Materials Required: Further Info: http://kiaa.pku.edu.cn/ Kavli Institute for Astronomy and Astrophysics Peking University 5 Yiheyuan Road Haidian District Beijing 100871 P. R
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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China, in the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred
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to the Sustainable Built Environment (SBE). The SBE team focuses on building energy modelling and simulation, decarbonization strategies for the built environment and R&D of green building technologies such as HVAC
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required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential. Additional Qualifications
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datasets (in SPSS and/or R) Desire to work in a cross-disciplinary team Proven ability to establish rapport and interact effectively with colleagues For further information, including a full description of
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, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly clinics, trial support, and active contribution to academic