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(Honours degree) in a relevant subject or a cognate discipline, or equivalent A2 Specialist theoretical and practical knowledge of app development using C, C#, python or similar languages A3 A comprehensive
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subject area or subject specialism A4 Conversant in Python programming and deep learning algorithms for image analysis. For appointment at Grade 7: A5 Normally Scottish Credit and Qualification Framework level
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data using computational tools (LexisNexis, NVivo, R, Python, etc.) and a familiarity with computational social science methods. Experience Essential E1 Experience of delivering quality outputs in a
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Python or a similar system. A4 Knowledge of integrating Design-Make-Test-Analyze (DMTA) cycles for drug discovery with automated chemical synthesis systems. A5 Knowledge of automated solid phase synthesis
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: C1 Proficient in programming using Python, and deep learning frameworks such as TensorFlow and PyTorch. C2 Research creativity and cross-discipline collaborative ability as appropriate. C3 Excellent
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challenges and proposing solutions. E6 Experience with challenging library preparation methods. Desirable F1 Experience using various technical software for sequence data analysis, namely R and Python. F2
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E10 Experience in clean-room working E11 Experience in optical polishing E12 Experience in data handling and processing using, e.g. Matlab, Python, LabVIEW E13 Experience with building laboratory
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or more of the following: python, C/C++, Matlab. F3 Competency in working with electronics characterisation tools, e.g. mixed-signal oscilloscopes, RF test equipment (Network / Impedance Analysers
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knowledge of experience with python and modern machine learning architectures (e.g. VAEs, transformers) and libraries (e.g., numpy, pytorch or tensorflow or JAX frameworks). A4 Knowledge of mathematical
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Science or related discipline A3 Knowledge of a range of research programming languages and technologies such as Python, C++, Java, and web technologies. A4 Proven expert knowledge of developing software