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Field
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responsible for investigating data-driven methods to establish a flexible framework aimed at synthesizing the output of flow diagnostics in physically-interpretable control models. Data mining, manifold
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Education You should have recently completed or be close to completing a PhD in optics or physics. Preference will be given to applications submitted by candidates who have received their PhD within the past
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, flexure spacing, etc. update a mechanical design based on the outcome of the optimisation process, also implementing lessons learned from the current design, such as mechanical alignment. Explore new
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of a PhD in a subject relating to materials physics and chemistry, contamination engineering or thin film optical coatings. Preference will be given to applications submitted by candidates who have
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on process classs which have, appropriately seen, universal approximation properties, well known also from the theory of machine learning. Your personal sphere of influence: As a postdoctoral university
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scientific backgrounds, including materials engineering, marine science, chemistry, chemical engineering, physics, or microbiology. The successful candidate will be involved in investigating the efficacy
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. They are qualification positions for junior researchers pursuing an academic career after the PhD degree. The positions are available immediately or upon availability of the candidates. The successful candidates will be
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potential for application to other high-reliability organisations who engage in multi-agency teamwork both in the UK and internationally. You will have a PhD in psychology (or related discipline) and
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remotely). You will have or be close to the completion of a PhD or equivalent in computational sciences (Mathematics, Engineering, Computer Science, Statistics), together with relevant research experience
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should have, or be expecting soon to obtain, a PhD in any suitable chemical, informatics or computational science, or a related, field. In return, we offer an excellent benefits package including generous