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of vision in trilobites” funded by the Human Frontiers Science Program. The researcher will work under the direction of Associate Professor Luke Parry as part of a wider international team including Dr
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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, nursing, medicine or a related field, with clinical or programme experience in maternal, newborn and child health. You will have excellent writing and communication skills, experience in knowledge
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Hours of work: Full-time Tenure: Fixed term for 36 months We are seeking an exceptional and highly motivated researcher with expertise in exploratory synthesis to join a multidisciplinary programme
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optimisation problems. We are particularly interested in applicants with experience in one or more of the following: mathematical programming; multi-objective optimisation; simulation-based optimisation
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Hours of work: Full-time Tenure: Fixed term for 36 months We are seeking an exceptional and highly motivated researcher with expertise in exploratory synthesis to join a multidisciplinary programme
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2027. To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project The role will involve
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. The role offers the opportunity to contribute to a collaborative research programme exploring the biological mechanisms underlying neurodegeneration. Key Responsibilities Maintain and differentiate iPSC and
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multistep organic synthesis. The research program further aims to establish structure, property relationships governing the electronic, photophysical, and charge-transport properties of these materials
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experience with a range of laboratory software and excellent organisational and planning skills with the ability to prioritise and plan own workload to agreed protocols and deadlines are also essential