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complexity science, mathematical modelling in evolution, ecology and plant biology, along with transferable skills, including interdisciplinary communication and collaboration. You will also be offered
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writing and presentation skills. At the start of the PhD, having obtained a Master’s degree in a relevant field, such as AI, mathematics, physics, (computational) neuroscience, etc.. Terms and conditions
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systems thinking mindset with robust mathematical frameworks to solve real world problems with our industrial collaborators at Rolls-Royce. Over the past 30 years, we have designed and introduced new
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characterizing defects such as dislocations Applying generative models (e.g., GANs, diffusion models) to augment microscopy datasets Investigating domain adaptation techniques across different imaging modalities
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evaluation of different glaciation histories with a focus on the mid Holocene and the Little Ice Age Numerical GIA-modelling with advanced 3D codes, evaluation and validation of results in collaboration with
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different hardware backends. Design conventional (GPU-based) deep neural networks for comparison. Publish research articles, regular participation in top international conferences to present your work
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candidates with: • Relevant subject matter experience at required level (e.g. 2.1 or above undergraduate degree in physics, mathematics or computer science) • Willingness to adapt and work across different
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in Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics in a world-class research environment
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/1163119355/ Interested applicants should upload the following documents: CV Motivation statement (please indicate your earliest availability date) Grades from bachelor and master studies Different projects can
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(e.g. 2.1 or above undergraduate degree in physics, mathematics or computer science) Willingness to adapt and work across different disciplines Ability to work independently and cooperatively Commitment