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Language Processing, or a closely related field* Demonstrated experience with computational semantics models, word sense disambiguation, or semantic change detection Proficiency in Python and relevant NLP libraries
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PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field * Demonstrated expertise in programming and scripting (e.g. R, Python, Bash) for data
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refurbishment. Further information may be found at: http://www.kcl.ac.uk/physics About the role The FCPA research assistant primary role will consist of investigating Sagnac interferometry for fibre
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, ChIPeq/CUT&Tag/ATAC-seq, Proteomics Strong programming skills in R, python or other coding languages Practical experience with a high-performance computing and Unix/Linux environments Desirable criteria
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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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, data science, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming proficiency in R or Python and version
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-world data, with strong 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
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opportunity to grow your skills in data visualisation, SQL and Python. We encourage applications from candidates who have experience from both within and outside of the Higher Education sector where they can
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experimental chemistry, providing a supportive research environment. Applicants should have a PhD in Chemistry or related field, and extensive experience in python programming and machine learning models
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-world data, with strong 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