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measurement e.g. physics, electrical engineering. A sound understanding of the fundamental principles underpinning the operation of solar cells. Proficiency in Python programming as applied to equipment control
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languages such as Python or Bash, for automation, orchestration and source code management. Experience in providing services to research domains, including engaging with researchers to determine requirements
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. Applied experience in the analysis of genomic data (bioinformatics), including reference based and reference-free pipelines, and relevant coding languages (e.g. bash, R, Python), and a sound understanding
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packages relevant to biostatistics and bioinformatics (e.g. R, Python, Fortran, Matlab, SAS, Stata or equivalent) and experience in the use of high-performance computer resources and parallel computation
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to coordinate changes with central teams. Scripting & tooling: ability to automate with Python, Bash and/or PowerShell; Git basics; familiarity with desirable. Data management: experience with NAS/NFS/SMB, backup
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decision modelling optimisation, stochastic modelling, or control-inspired analytical approaches strong programming skills in Python and familiarity with modern computational toolchains a clear interest in
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technologies such as: BluePrism (Robotic Process Automation) Python-based automation Google Cloud Microsoft Azure As you grow and gain valuable experience, you'll have the opportunity to tackle complex
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processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep learning frameworks such as PyTorch, TensorFlow, or Keras. Project funding Project based
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analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., EEG, eye-tracking, pupillometry, fNIRS) Interest or training in technology law, digital regulation
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various sources. Required knowledge Python programming Machine learning background Image analysis Video analysis