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conditions can be predicted and forecasted. The group covers a wide variety of scientific backgrounds, including ecology, data science, conservation science, physical geography, Earth science, and global
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); integrating theories and methods from educational science, communication science social psychology and pedagogics; using advanced statistical methods to process and analyse data; design and investigate
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PRONTO (PROperty prediction by Network TOpology modelling of polymer films) is a 3-PhD project concerning ‘drying’ of paints or coating solutions, a solidification process where multifunctional
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of the research and data science process ambitions to lead an engineering team and be an advocate for best software development practises at qurAI We encourage you to apply even if you do not meet all
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Are you enthusiastic about exploring the fascinating interplay between physics and mechanics? We are delighted to offer two exciting postdoctoral positions in the Machine Materials Laboratory , and
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can provide letters of recommendation, in case necessary later on in the process (no letters of recommendation are needed at this point); on your CV, please state whether you have completed your degree
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, including ecology, data science, conservation science, physical geography, Earth science, and global change biology. Want to know more about our organisation? Read more about working at the University
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on scientific explanation and methods applied to areas such as AI, Mathematics, Quantum Physics, Cognitive Science, Life Science and the Engineering Sciences. What are you going to do? You will develop an account
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play an active role in identifying and guiding potential PhD candidates and will offer candidates with an underprivileged or underrepresented background appropriate support in this process. Leadership We
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to the xylem endings. This provides the pathogen access to the vasculature for systemic spreading through the leaf. During different stages of the infection process Xanthomonas injects effector proteins