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for Cross-disciplinary assessment of Endocrine Disrupting compounds, a Marie Skłodowska-Curie Actions (MSCA) Doctoral Network). Qualifications: The successful candidate must have an MSc degree in biology or
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Action Plan for a national noise hot-spot. Ideal profile: honours degree (2.1 +/MSc) in environmental science, data science, public health, geography or similar; experience with R/Python statistics
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in both research and education with other UCL departments, including computer science, engineering, economics, psychology, public policy, statistics and medical sciences. About the role The UCL School
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healthcare in the UK (assessed at: interview) Desirable criteria A higher degree, e.g. MSc in a relevant discipline such as statistics or health research (assessed at: application) Experience in using
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quantitative finance, particularly statistical arbitrage. What are you going to do? You will work 60% of the time on your PhD-project, and 40% of the time on projects at Deep Blue Capital. Those projects will be
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breakage models, e.g. with stochastic tessellations Development and implementation of estimation methods for the model parameters, e.g. with machine learning or statistical methods Lab work and collection
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: 30 August 2025 Apply now The Department of Earth Sciences is looking for a highly motivated PhD candidate with an MSc background in Earth, Environmental or another relevant field. You will work on the
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motivation in conducting evolutionary and chemical ecological research at different levels. •MSc/diploma in a relevant field (e.g., evolutionary biology, chemical ecology, sensory biology). •Strong experience
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part of the larger project. The scope of the PhD project is to implement, use, and where required develop, statistical machine learning tools to identify DNA mutations that cause particular types
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, conservation biologists and demographers. Contribute to teaching 10% of the time, by supervising BSc and MSc students, and assisting on courses. Organisation Founded in 1614, the University of Groningen enjoys