6 algorithm-"Multiple"-"U"-"Simons-Foundation"-"Prof"-"UNIS" positions at University of Bristol
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behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
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This is a Research Assistant / Research Associate position within a 4-year long project. This position involves the development of novel Computer Vision algorithms for embedding computer vision
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(SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide enhanced interference resilience
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or relevant health or social science discipline, and experience of publishing findings in peer-reviewed journals. Given the need to communicate with multiple stakeholders, you will have excellent communication
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for X-ray equipment, a proven ability to maintain and repair the X-ray equipment and communicate with users. You will also have an ability to manage multiple priorities in a fast-paced environment
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community Opportunities to co-produce software with multiple research institutions Embedded in a cutting-edge data science team with extensive research support Flexibility Meets Impact While based in Bristol