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Field
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state estimation methods, including Extended/Unscented Kalman Filters and particle filters. Knowledge of battery degradation, ageing, and state estimation (SOC, SOH, SOP), including diagnostics and
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Overview Applications are invited for a Research Associate to join the Next-Generation Forest Inventory (NextGen-FI) project, developing advanced AI and remote sensing methods for forest monitoring
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. The applicant should have high proficiency with scientific computer programming in Python, Julia, R and/or MATLAB, parameter estimation methods and HPC simulations. Experience with dynamical systems theory and
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. The applicant should have high proficiency with scientific computer programming in Python, Julia, R and/or MATLAB, parameter estimation methods and HPC simulations. Experience with dynamical systems theory and
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that affect their lives and maintain agency over the data generated. About the role We are recruiting a Research Fellow in participatory methods to work within the Centre for Data Futures (CDF) at King’s
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Sciences, the role will focus on human-computer interaction, human-AI interaction and user-centred design, contributing to the development of transparent, trustworthy and clinically relevant technologies
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an experienced, motivated quantitative Research Training Fellow to lead data integrative analyses in large-scale epidemiological studies of cancer and apply innovative methods in epidemiology, statistics and data
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realism and interpretability? You will join the Choice Modelling Centre to develop AI-assisted methods for specifying, estimating and validating discrete choice models. The project aims to bring together
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with ordinary facial movement. While many methods have been developed to recognise and localise micro-expressions, these results remain difficult to understand. The proposed models will be designed
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Relevant industry or academic experience (for instance pursuing a PhD) in a field with significant use of both computer programming and advanced statistical or numerical methods. Fluency in one or more