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for remote sensing and uncertainty estimation. Candidates must have a strong programming background. Requirements: PhD in Computer Science or a related field with a strong emphasis on machine learning
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Our leading rail research group is recruiting for a Research Fellow to investigate the performance of railway infrastructure, particularly overhead line equipment structures and installations. This is for a two-year contract until 30/09/2027 to develop and carry out field trials; survey remote...
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Deadline 9 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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(R3) Country United Kingdom Application Deadline 23 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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Application Deadline 21 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Discovery, Development Sciences, and Aesthetics which includes fields such as chemistry, biology, pharmaceutical science, and computational information sciences. This enriching training program offers a
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programming languages such as C and Python Proficiency in deep learning frameworks such as Pytorch and Tensorflow Knowledge in imaging and computing device and equipment Good written and oral communication
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Although not required to apply, support and co-investment from a university or institute partner contributes to 25% of the application selection criteria. Any form of support and co-investment should be detailed in the application form. Type of assistance may include monetary or in-kind...
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE