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Experience in analysing high-dimensional and spatial data, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full
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Python or similar languages Knowledge of quantum optics measurements such as photon correlation functions or photon-number-resolved detection Familiarity with aspects of condensed matter and BCS
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to develop, simulate, and critically evaluate mechanistic models rather than relying solely on descriptive data analysis. Scientific programming ability in Python, MATLAB, Julia, C/C++, or a comparable
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are no longer practical. This project aims to automate anomaly detection (identifying missing, stuck, and suspicious data) at high temporal resolution (five-minute intervals) by combining Python-based rule-based
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analysis. Excellent programming skills in Python and experience with deep-learning frameworks (preferably PyTorch). Experience developing, training, validating, and optimising machine-learning models
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Proficiency in scientific computing using R, Python, or a comparable language, including experience developing reproducible analytical workflows, as demonstrated by presentations, publications, and/or
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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bacterial genome analysis and comparative genomics. * Skills in bioinformatics applied to genomic data analysis. * Experience in data analysis and visualization, particularly using R and/or Python. * Ability
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Proficiency in R and/or Python for data analysis is a plus Record of research productivity and publication Motivation to start or continue in benign urology research Written and verbal communication skills
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-to-end GPU timing; document limitations and extrapolation behavior. Implement, test, document, and maintain open-source Python/JAX research software; collaborate with researchers to connect trained models