575 computer-algorithm-"The-University-of-Edinburgh" Fellowship positions in United Kingdom
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- Xi'an Jiaotong - Liverpool University
- bermet.ishenbekova@ucentralasia.org
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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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organisations. For more details, visit our website: cogmhear.org.uk . Currently, Edinburgh Napier University is seeking to appoint a full-time Research Fellow with expertise in Multimodal Hearing Assistive
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. The Department
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’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. The Department of Women and Children’s Health is a lively and supportive
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. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims
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systems beyond commercially available peptide based systems. A6 Knowledge of data science driven approaches to drug discovery algorithms. For appointment at Grade 8: A4 Some reputation in, and insight
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John Williamson, and Dr Sebastian Stein. The job requires the proven ability to develop novel theory and build and evaluate working interactive prototypes involving complex computational models
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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
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values diversity acting as a role model and fostering an inclusive working culture Person Specification A First degree with strong quantitative and informatics component e.g. biological, biomedical