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collisions at an unprecedented energy of 13.6 TeV, delivering the largest amount of available data yet. The ATLAS experiment itself is a general purpose detector that allows to study a large range of particle
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landslides to replicate real-world scenarios. Model forests will be designed to mimic tree uprooting and breaking under landslide impacts, providing valuable data to validate and refine the numerical models
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). Deal with correspondence and draft responses in a timely and efficient manner on behalf of Professor Brown. Manage sensitive and confidential information being mindful of information governance and GDPR
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to unravel the ecological and functional diversity of MFRE associations. You will be responsible for developing and applying analytical frameworks to interpret these large datasets, enabling new insights
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skills, particularly in Excel, with the ability to interrogate and analyse large volumes of data, identify trends and effectively report on findings Essential Application/ interview Professionally
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experiments and cognitive modelling. You will focus on machine learning, but will be involved in all areas. There are also spinout opportunities. For details: PhD information sheet The team have wide experience
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large image datasets (e.g. from manufacturing, remote sensing, or media) Desirable Application/Interview Experience working with research ethics applications, data governance processes, or contributing
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and Google Calendar. The ability to produce accurate work with attention to detail and to maintain a confidential approach to information, documents and data is also a prerequisite for this post
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found here : Main duties and responsibilities Identify, organise and review appropriate literature, including academic, policy and grey literatures. Collect and analyse industry data, large scale panel
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Are you a STEM graduate with a thirst for knowledge and a talent for picking up new skills? Do you thrive on a mix of hands-on experimental work and in-depth data analysis? We're looking for a fast