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of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial
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and programming skills and experience of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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, mathematical criteria stability and robustness of neural networks, applications of topology and geometry to deep learning, the topology and geometry of data, or the dynamics of learning. The successful candidate
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, mathematical criteria stability and robustness of neural networks, applications of topology and geometry to deep learning, the topology and geometry of data, or the dynamics of learning. The successful candidate
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a pan-European project including 13 partners and focuses on the development of a 4D injectable hydrogels for the treatment of deep wounds; so-called tunnel wounds. The CRMD team will be responsible
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University of Brighton | The City of Brighton and Hove, England | United Kingdom | about 12 hours ago
on the development of a 4D injectable hydrogels for the treatment of deep wounds; so-called tunnel wounds. The CRMD team will be responsible for the design and development of peptide-based nanocarriers
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. Are you a Computer Scientist looking to apply your expertise to real-world weather forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction for and in Africa
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Introduction As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill
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skills and knowledge of computer programming such as Unix, Python and R Previous experience with multi-omics and their integration Deep technical understanding of bioinformatics analysis approaches and