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optics, near-infrared spectroscopy (NIRS), diffuse optics, photonics or related areas. Experience in scientific software development and programming (e.g. Python, MATLAB, C/C++, LabVIEW). Experience in
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using python, MATLAB, etc. Ability to support organisation of webinars and remote and in person training activities Publications in Q1 journals on the above topics Please see the attached job description
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bioinformatics, computational biology, biology, genetics, computer science, statistics, applied mathematics, physics or a related field. Strong programming skills in Python, R, C/C++ or similar, with experience
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vision and deep learning methods relevant to imaging, together with programming experience using modern scientific computing tools such as Python and PyTorch or TensorFlow. The successful candidate will
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science, neuroscience, computer science, psychology or a related field. They should have strong Python skills, experience with transformer language models, knowledge of interpretability methods and
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, Biostatistics, or a closely related quantitative discipline and strong programming skills in Python or R. They will also have experience in causal inference research, including methods for treatment effect