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” which examines signal processing and machine learning methods for inferring active travel activities from optical fibre signals. About You Applicants must have an Undergraduate Degree in Computer Science
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collaborate with two postdocs specialising in experimental mechanics and materials science and PhD students. About You You should have a PhD degree in Computational Mechanics or a relevant subject (e.g
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the areas: AI, deep neural networks, machine learning, applied topology, probability, statistics, signal processing. About the School The School has an exceptionally strong research presence across
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sensing, signalling and memory, critically influences the disease onset and progression1. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is
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et al, Leukemia 2018; Poynton et al, Blood Adv 2023; Coulter et al, J Mol Diagn 2024). The wet lab/computational biology postdoc will lead a project investigating residual follicular lymphoma cell
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This is the expected starting salary for this post however appointment at a higher point may be made for candidates who demonstrate exceptional skills and experience relevant to the role. Right
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techniques like Raman spectroscopy, AFM, SEM, XPS, and electrical measurements such as Hall effect, four-point probe, and current-voltage (I-V) testing. A proven track record of high-quality research
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-scale data analysis you will be able to demonstrate your expertise in using R and Python to process and analyse genomic data and to employ learning frameworks. Appointment is at either a grade 4 or grade
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Institute, a pioneering biomedical research institute in London where our wet lab is located. We are also part of Cancer Research UK City of London Centre, which sponsor our high-performance computer cluster
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well as qualitative approaches including semi-structured interviews with women, families, and clinicians. These interviews will inform the design process and deepen understanding of the everyday contexts and