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engineering, linked data, web technologies. About the role: The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out
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: The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in neuro-symbolic AI, with a focus on using generative and
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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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the project, you will develop sophisticated ex vivo and in vivo approaches to identify lipid metabolic pathways controlling macrophage functions and how these in turn regulate breast cancer progression and
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)” asks three main questions: which knowledge about wild diseases emerged in Brazil? How did Brazilian health authorities control wild diseases? What were the social and environmental consequences of anti
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Hinterland (1920-1975)” asks three main questions: which knowledge about wild diseases emerged in Brazil? How did Brazilian health authorities control wild diseases? What were the social and environmental
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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