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, in situ mimicking of tissue forces, allowing us to map tissue and cell responses to mechanical inputs. This role provides an opportunity to contribute and integrate in ongoing projects as
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you will break new ground at the absolute forefront of what is possible in safe operation of autonomous agricultural vehicles. These are needed to enable better land use and management. This project
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of marginalised communities through documents, interviews, and focus groups to understand their views on health data governance. Additionally, you will also be responsible for managing some organisational elements
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providing a structured, semantic framework that enhances knowledge sharing and data reuse across different platforms and systems. Project Aim This PhD will develop an ontology-based methodology to improve
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for downstream tasks. In this project, you will develop novel unsupervised machine learning methods to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a
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part-time with 67 %. Your key tasks Fabrication and characterization of porous materials. Developing new methodologies in the field of nanofluidics. Design and implementation of nanofluidic experiments
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Computing Strategies: Develop algorithms that dynamically adjust computing resources to minimize energy usage without compromising performance. Thermal Management Techniques: Design systems that effectively
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15th September 2025 Languages English English English Two PhD fellow positions in ERC-project “Private Law Firms as Transnational Advocates (PROBONO)" Apply for this job See advertisement Job
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will allow the student to be integrated into Dr Bateman’s active HDR group. The student will develop a research project with application to fisheries management, terrestrial ecology or biomedical
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inductance, ensuring uniform current sharing among parallel devices, and developing effective thermal management solutions tailored for low-temperature operation. Additionally, the project will explore robust