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Field
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statistical analysis of quantitative data to test hypothesis on various aspects of mental health and younger generations. We are multi-disciplinary and place great value on working with young people from
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design and analyse separation processes, develop data-driven or AI-assisted tools, or generate high-quality experimental data that supports method development, modelling, and machine learning. You will
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position is a PhD in physics, computer science, statistics, or a related field. The candidate should: Be interested in statistical inference and methods, with a focus on the Bayesian approach. Possess solid
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valuable data. Collaboration and supervision with postdocs and PhD students in the lab. Work on applying for external research funding. Writing research reports and papers for conference and scientific
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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international research team to synthesize data and develop comparative models. Mentor and support graduate students conducting related research on fossil assemblages and ecological modeling. Participate in grant
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interest in epidemiology and should hold a PhD in Epidemiology, Phytopathology, Mathematical modelling, or a similar subject. Candidates must have either proven expertise in theoretical epidemiology
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related experimental data. This position resides in the Neutron Scattering Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL) and is embedded in the MAIQMag (Multimodal AI
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7 Nov 2025 Job Information Organisation/Company Universite de Montpellier Department Human Resources Research Field Geosciences » Hydrology Researcher Profile Recognised Researcher (R2) Positions
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distribution systems. Current research initiatives include developing advanced vibration analysis methodologies for wooden packaging systems, predictive modeling for packaging performance, and optimization