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Deadline for applications: 15th of April 2024 (or until the position if filled) One fully funded PhD position to work with Dr Milos Nikolic in the School of Informatics at the University
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Deadline: 6th of May (or until the position is filled) One fully funded PhD position to work with Dr. Susan Lechelt and Prof. Ewa Luger in the School of Informatics at the University of Edinburgh
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thereafter. This advert might close once a suitable candidate is found. Please apply as soon as possible to avoid disappointment. Further Information: The University of Edinburgh is committed to equality
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mechanics from which they originate them; (ii) to reveal what scale is large enough for the continuum approaches cannot be used. The project aims to develop new theories to understand the root causes
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Deadline: 19th April 2024 (or until position is filled) One fully funded PhD position to work with Dr Milos Nikolic in the School of Informatics at the University of Edinburgh, on a project titled
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Deadline: 31 March 2024 (or until position is filled) One fully funded PhD position to work with Dr Adriana Sejfia in the School of Informatics at the University of Edinburgh, on a project titled
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Deadline: 31st March 2024 (or until position is filled) One fully funded PhD position to work with Dr Milos Nikolic in the School of Informatics at the University of Edinburgh, on a project titled
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. Callanan - Edinburgh University Profile The University of Edinburgh is committed to equality of opportunity for all its staff and students, and promotes a culture of inclusivity. Please see details here
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network models will be developed for 3D reconstruction and object detection. The project will use existing sensors (SPAD, RGB, EVS, IMU) as a starting point, and develop a system around them, with closed
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PhD Studentship: Molecular Simulations and Data-driven Modelling for Polymer Nanocomposite Membranes
filler materials, to elucidate the impact on membrane properties and gas transport performance and create new molecular descriptors for ML modelling. Develop ML models to predict gas solubility