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across the ML-Ops and Bioinformatics fields. We expect good software development skills in a least one language regularly used in scientific computing (i.e. Julia, Python, etc) and you should have an
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on a clinical trial. Ability to code (python/R) and experience working with individuals with mental health conditions (anxiety/depression). Someone who enjoys teamwork, highly organised, self-directed
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, particularly causal inference and proficiency in R/Python are especially welcome. The post holder will contribute to and help shape our interdisciplinary research portfolio by applying advanced quantitative
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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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distributed compute. Expertise in SQL, Python, data modelling, metadata management, data cataloguing and lineage. Strong understanding of governance, security, compliance and data quality frameworks. Experience
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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