11 deep-learning "Computer Vision Center" Postdoctoral research jobs at KINGS COLLEGE LONDON
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approaches. The project addresses the urgent need to understand and integrate justice into global energy transitions, particularly in the governance of critical minerals. The project responds to deep
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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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 work on an NIHR-funded project evaluating Care (Education) and Treatment Reviews (C(E)TRs) for people with a learning disability and autistic people (the OptiCaT project). C(E)TRs were introduced in 2015
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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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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 in publishing
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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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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