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, Extensive experience in building Neural Network models and a solid foundation in mathematics. Technical proficiency in Python, C, or C++, and familiarity with Tensorflow Lite/Micro, Pytorch. Experience in
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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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experience of working with programming languages such as C++, Fortran and Python. Proven hands-on experience in using simulation software such as ANSYS, OpenFOAM, StarCCM+, COMSOL etc. For a full role
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. These experiments will be combined with optogenetic tools for causal manipulations of neural circuits during learning and sleep. Additionally, data analysis using MATLAB (or Python) will be used to analyse neural
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/computational biology/molecular biology/genomics or related area. The successful candidate will have considerable experience in computational bioinformatic analysis (R, Python or equivalent) of omics data and
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. Beneficial previous experience could include (but is not limited to): robotics and autonomous systems development, environmental science fieldwork, electronics design, and data science. Knowledge of Python, C
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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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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills
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Overview: We are seeking a part-time researcher (two days a week) to contribute to an integrated aircraft design framework focused on recyclability and remanufacturing. You will extend our Python-based