12 machine-learning-"https:"-"https:"-"https:"-"https:" research jobs at University of London
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the learning process. You will be able to develop novel and appropriate methodologies to support current research activities of the QMUL SPRING group (including: sensor modelling, noise factor analysis, machine
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, machine learning, data pre-processing, fusion, etc.). This will require engagement with sector and subject matter specialists at all levels of employment to understand the current industry practice and
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-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data
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Practice Research Datalink. The post-holder must have a first degree in a field relevant to data science along with relevant experience in machine learning, particularly natural language processing methods
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, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modeling. Imaging
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sensitive information to patients and volunteers. You will have some experience of health research delivery, Good Clinical Practice certification and motivated to learn new skills relevant to the role such as
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biology, detailed knowledge and laboratory experience in molecular biology, in particular familiarity with DNA isolation, PCR genotyping, ONT-based NGS sequencing and analysis with relevant computer and
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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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/interpersonal skills Computer literate in Microsoft Word, Excel, Powerpoint Experience of working in a research environment Experience of interdisciplinary working In return we offer a highly competitive rewards
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candidates who are not proficient in Arabic should show commitment to learning. Finally, there is an important fieldwork component of the project, and the successful candidate would be expected to spend