20 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Postdoctoral research jobs at KINGS COLLEGE LONDON in United Kingdom
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recognised scientists and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms About The Role This is an exciting opportunity for a Postdoctoral Research
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wireless communications for three decades. For further information, please see here: https://www.kcl.ac.uk/research/ctr About the role: 5G networks are a key enabler for the economy and society’s growing
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-2025 Contact Person: Ismael Diez Perez Contact Details: ismael.diez_perez@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404839/postdoctoral-resear… Requirements
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Details: Clement.1.sefa-nyarko@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404831/postdoctoral-resear… Requirements Additional Information Work Location(s) Number
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About us: We are seeking to appoint a postdoctoral research associate with an excellent track record in semantic technologies and machine learning. Topics of interest in this area include, but
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to develop novel computational methods for data integration and analysis Experience with machine learning approaches for biological data modeling and predictive analytics Good communication skills and
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) for people with a learning disability and autistic people (the OptiCaT project). C(E)TRs were introduced in 2015 as a key intervention in ensuring that people with a learning disability or who are autistic
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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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-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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-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