528 machine-learning-and-image-processing Postdoctoral research jobs in United Kingdom
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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tissue samples from one of Europe’s largest and most well- characterised ILD cohorts. The postholder will be responsible for tissue processing ad generation of / sorting of primary lung cells from
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tissue samples from one of Europe’s largest and most well- characterised ILD cohorts. The postholder will be responsible for tissue processing ad generation of / sorting of primary lung cells from
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sustainability, performance, and reliability. Our research leverages optimization techniques, applied machine learning, and statistical analysis to achieve these objectives. Through the DecAI project we will work
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-Watt have a long–standing track record in researching ground-breaking single photon detection and applications in quantum communications and single-photon imaging. With single-photon avalanche diode
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. Responsibilities include working with digital signal processing, advanced filtering techniques, dynamic feature extraction, time-domain and frequency-domain analysis, signal fusion and machine learning to enhance
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programming skills, in depth knowledge of MR theory, and experience with the acquisition and analysis of (preclinical) MRI data, as well as with mathematical modelling and image processing methods. Experience
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(imaging mass cytometry); maintenance of tissue archives and databases. Key attributes of the successful applicant include: PhD in a relevant subject Substantial experience of histological techniques
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to learn new techniques and apply them in an interdisciplinary research environment. Application Process Applications for this vacancy are to be made online and you will be required to upload a supporting
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Theory and Machine Learning, can easily integrate into our team, independently contribute to current research, and work with responsibility for results. The research project is a collaboration between the