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the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex. Only UK domiciled applicants who meet the following criteria may apply: Not already have a Master’s degree And Be
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the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex. Only UK domiciled applicants who meet the following criteria may apply: Not already have a Master’s degree And Be
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Apply now Want to investigate how climate and geology influence debris flows initiation, growth, and potential impact? Excited? Join our team. Your job Debris flows are dangerous for both people and
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the lab’s research program. Essential Job Duties Lead the construction of an experimental system simulating post-impact conditions of early Earth atmospheres. Develop custom-designed tools to study the post
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. Where you will be working You will work within the Physical-Organic Chemistry department as part of the Big Chemistry Robotlab team. At the Robot Lab, a team of chemists, computer scientists and engineers
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investigates how AI affects both news production and consumption and assesses the adequacy of existing legal frameworks in addressing these transformations. Read more about the project HERE . Employment can be
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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and master programme) was English, or; – scoring at least 100 on the TOEFL iBT test or 7.5 on the IELTS test. Two (academic) reference letters, , preferably from a thesis supervisor or research project
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of the Belastingdienst (Dutch tax agency), and with our Dual Career Programme we will also help your partner find the right job for them. Employer Erasmus University Rotterdam (EUR) is an internationally oriented
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or computational frameworks, developed in collaboration with partners with modelling expertise. This PhD offers the opportunity to work at the interface of plant physiology, root biology, imaging and quantitative