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approaches, such as longitudinal survey research, (automated) content analysis, and experiments. You will work closely with the PI, members of the Strategic Communication group, and another PhD student who is
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control with teleoperated human inputs? Change: Develop novel algorithms and interfaces for teaching robots in shared control with human operators. Impact: Provide a seamless interface for humans to teach
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work hands-on with clinical data and build robust deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image
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In this role, you will help develop and implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical
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opportunity to work with scientists and engineers at the forefront of space science, and experience first-hand how ESA works with communities across the Member States to maximise the scientific return from our
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diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more
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, high-throughput screening, CRISPR-based functional screening, and patient-derived organoid models. You will work closely with in-house technology platforms, including the Single Cell Genomics Facility
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-time control algorithms, and validate performance across diverse scenarios. You'll be part of the Tactile Machines Lab, which is a dynamic, interdisciplinary group of researcher bringing together
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) relevant to the manufacturing of aerospace thermoplastic composites, and will play a key role in linking experiments with simulations from a companion PhD project. The work will involve close collaboration
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advanced treatment planning. You’ll work at the forefront of translational research, in a dynamic environment where scientists, engineers, clinicians, and industry partners collaborate to shape the future