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/Qualifications - Automation or applied mathematics background, with a strong interest in physical models and numerical method - Analysis of partial differential equations, variational approach, Bayesian estimation
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. You will work together with project partners and the people from diverse and underserved backgrounds to co-produce information that is easy to digest on the challenges and benefits of linking data, and
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on Machine Learning and Psychophysiological Deception Detection. The studentship is part sponsored by GCHQ and funded for up to 3.5 years with fees and a stipend at the standard UKRI rate. The position is only
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do caregivers strike a balance of children’s individual needs in dyadic caregiver-child relations and the dynamics of the group? (Study 4) The project involves: quantitative analysis of large-scale
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) within the scope of the project “FMC Fire - Determination of Exposure Risk and Management of Civil Protection Assets in Forest Fires through Remote Analysis of the Moisture Content of Forest Fuels”, with
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and youth studies, particularly health and risk behaviours of adolescents Familiarity with quantitative research methods Knowledge in statistics (descriptive and inferential analysis) Ability to work
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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for the detection and analysis of vulnerabilities and privacy harmful behaviours in IoT products, including side-channels arising from misuse and abuse of network protocols. The candidate will develop and apply
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6 Nov 2025 Job Information Organisation/Company Universidade de Vigo Department C01 Functional Biology and Health Sciences Research Field Biological sciences » Biology Researcher Profile Recognised
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systems of the future. What are you going to do? The increasing complexity and ever-tighter performance requirements on systems such as occurring in high-tech manufacturing, autonomous vehicles, and smart