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algorithms, models, and frameworks. Proficiency in programming languages commonly used in bioinformatics and AI research (e.g., Python, TensorFlow, PyTorch). Record of publications in top-tier conferences
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programming and algorithm development, with proficiency in Python, Perl, C/C++, or Java, and statistical computing using R Demonstrated experience in designing, training, validating, and deploying machine
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. The Scientist will be capable of designing toxicity experiments to address regulatory toxicological questions, performing reproducible analyses of (transcript)omics data by applying their knowledge of R or Python
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experience with AR/VR platform development, immersive content creation, and tools such as Unity, Unreal Engine, Autodesk Maya, Blender, and programming languages like Python, C++, C#. You are familiar with
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) of Advance HE. (Desirable) Membership of a professional body. Experience of (more specific relevant processes/subject areas). (Desirable) Proficiency with relevant tools/software, such as NVivo,Python, R, AMOS
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: Statistical and econometric software (R, Stata, Python, EViews, SPSS), Programming for economic modelling, Generative AI applications for research and teaching, Behavioural experiments and survey platforms