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to have the following skills and experience. We welcome applications from individuals with experience in: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep
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Smart Computer Models for Nuclear Reactor Design School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof S He Application Deadline: Applications accepted all year
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Title: Art & Design Model Position Type: Student Search Type: External - minimum 7 days Department: 21R010 - College of Letters, Arts & Soc Sci Division: 2R0000 - Academic Affairs Position Location
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chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidate must have a PhD in computational chemistry, ideally in material and/or surface science. Experience in modelling
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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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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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to carry out objectives 1 and 2. About the Position: Teaches undergraduate Game Design, 3D Modeling, and Animation courses and helps develop this future track in the Computer Game Design Program. Pursues
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Geoscientist for developing and integrating large-scale 3D geological models of the Swiss Alps
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing