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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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the dissemination of research findings through conferences, seminars, and other scientific events Your qualifications and skills: You hold a MSc in plant science, crop science, biology, or related field. You have
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parameter set for quantum internet tasks. Is Your profile described below? Are you our future colleague? Apply now! Education · MSc degree in physics, quantum technology, materials science, or
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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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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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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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: 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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statistical inference, optimisation, microeconomics, scientific methods Elective courses in economics, finance, or optimisation Management Science Dissertation on a topic in logistics, operations management