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Field
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conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a related field together with strong programming skills in Python, R
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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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mechanical design Experience with beam shaping techniques (e.g., spatial light modulators, diffractive optical elements) Proficiency in programming languages like LabVIEW, Python, MATLAB, or C++, and
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neurogenetics of Drosophila. This requires expertise in setting up and analysing behavioural tests, using appropriate analytical methods and software and skills in coding in e.g. R, MatLab, R, Python, as required
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; supervising student projects/practicals. · Demonstrable ability to model experiments using a range of software packages, such as Python, Matlab or Mathematica. · Experience of experimental
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theoretical understanding of statistical machine learning methods relevant to the project: Bayesian learning, machine learning, spiking neural networks. Experience of programming (e.g. with Python) and data
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industrial experts. Nice to have: Proficiency in programming languages (Python, MATLAB, or similar software) for data analysis/model automation. Prior industrial collaboration or scale-up project experience
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EEGLAB or similar). Programming or data analysis skills in MATLAB, Python, or R. Experience conducting gait or balance experiments using forceplates or motion analysis tools. A developing publication
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• Experience with super conducting microwave circuit design of fabrication • Experience of materials and/or device modelling software • Knowledge of Labview and/or Python software. How
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EEGLAB or similar). Programming or data analysis skills in MATLAB, Python, or R. Experience conducting gait or balance experiments using forceplates or motion analysis tools. A developing publication