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Field
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Rotation, translation, scaling, etc., homogeneous coordinates Deep Learning: Experience with at least one deep learning framework such as PyTorch or TensorFlow Understanding of: Neural network architecture
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(familiarity with deep learning frameworks such as PyTorch is preferred) Excellent written, oral communication skills Prior system administration (Linux/Mac OS), programming experience (e.g., MATLAB, python
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deep learning approaches on a wide variety of clinical data modalities, such as structured data, imaging and testing data, and free-text clinical notes. The researcher will have the opportunity to work
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for Safe and Secure AI Robotics is looking to hire a post-doctoral associate to carry out research in deep learning methods for robotics. Single robots and swarms are both within the scope of the project
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We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image
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able to apply their deep scientific knowledge to solve complex real-world problems, and work with stakeholders to understand their needs and adjust and communicate their approach accordingly to meet any
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience
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strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives
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, including top-tier journals and conference papers in the related fields. Strong in Mathematics Coding Skills: Familiar with any of the major deep learning libraries, including Pytorch We regret to inform
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, including top-tier journals and conference papers in the related fields. Strong in Mathematics Coding Skills: Familiar with any of the major deep learning libraries, including Pytorch We regret to inform