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) for Wi-Fi. You will join the team of Dr Junqing Zhang in the School of Computer Science and Informatics at the University of Liverpool. The project will focus on innovative and practical radio frequency
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frameworks and transformer architectures applied to biological sequences would be advantageous. You should have a PhD in bioinformatics, evolutionary biology, machine learning or similar. The post fixed term
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-contractual basis) that combines a mix of remote and regular on-campus working. The salary for this post is £41,064 to £48,822 per annum. Your skills and attributes for success: PhD in neuroimaging, psychology
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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the Department of Computer Science at Aalto University in Finland. You will be joining a larger group of researchers working on similar topics. The department has a strong community on related topics: research
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animal health research. Essential Criteria: A PhD in microbiology, veterinary microbiology, or a closely related field. Proven experience in microbiological laboratory techniques, including bacterial
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Computer Science or a related topic. Applicants at the PDRA level must have a PhD in NLP or machine learning. Substantial knowledge of Natural Language Processing (NLP) and machine learning methods is essential, as
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. in MATLAB, Python, C) are essential. You will also closely collaborate with a second postdoctoral researcher, who will be hired later in the year, a cohort of PhD students, and a range of visiting
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interferometric scattering into an even more powerful tool in all areas of life sciences. Applicants for this position must hold a PhD in Chemistry or relevant subject area, (or be close to completion) prior
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computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: Completed doctoral/PhD studies in Computer Science or a closely related field