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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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. BSc degree in Biology, Biomedicine or a relevant discipline (Biochemistry, Neuroscience) MSc degree (or equivalent) in Epidemiology, Biostatistics, Data Science or related discipline. Strong
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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on industrial semiconductors. Is Your profile described below? Are you our future colleague? Apply now! Education · MSc degree in physics, quantum technology, materials science, or electrical engineering
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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 BSc and MSc levels. Present and disseminate research findings at both national and international scientific conferences. You must have a two-year master's degree (120 ECTS points) or a similar degree
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in the Bachelor’s and Master’s programmes of the department of Physics at Utrecht University. Your qualities We are looking for an ambitious and driven candidate who has: a MSc in physics, applied
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understanding of the process, statistics and data analytics shall be applied to link the different conditions to the likelihood of microcracks occurring. The severity of microcracks may also be studied in
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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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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