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-agent applications using agent platforms and working across key AI/ML tools and languages, including Python, Java, Prolog and JavaScript. You will have a proven ability to analyse research problems, write
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. You will have appropriate knowledge of relevant software tools for this work, including coding in python or C, and experience with standard laboratory equipment for detector development. About the
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computational workflows for large datasets Demonstrable experience in managing, deploying and documenting Python packages Downloading a copy of our Job Description Full details of the role and the skills
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proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently. Track record
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the form of papers, posters or oral presentations Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow Downloading a copy of our Job Description Full details
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managing and converting between file formats Experience with spatial data analysis tools/platforms (e.g.: napari) Programming skills working with image data in Python Experience with metadata, data
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. Demonstrable experience in managing, deploying and documenting Python packages Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in
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programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently
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have expertise with at least one programming language used for research (e.g. Python, C++, C, Matlab, R, Java, Javascript, Fortran, Julia) and conversant with at least one more. Strong analytical and
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
proficiency in Python is required, and hands-on experience with ML libraries such as PyTorch is expected. Theoretical understanding and experience with multi-physics modelling of electrochemical processes can