26 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulster-University" Postdoctoral positions at University of London
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on the development, validation and use of organ-chip models. We are particularly focused on the development and use of joint-on-a-chip models including synovium, bone, cartilage, fat along with inflammatory components
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University of London. Building on ongoing work in the group on the evolution of eukaryotic DNA methylation (www.demendozalab.com ), the project will focus on the comparative and evolutionary analysis of DNA
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About the Role You will contribute to the construction and quality control of the ATLAS Inner Tracker (ITk). The ITk group at Queen Mary University of London has played a key role in the development
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will encompass bio-informatician analysis, organ on-a chip development, small molecules testing, precision medicine trials, and development of a single cell platform. About Queen Mary At Queen Mary
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About the Role We are seeking a postdoctoral research assistant to join the group of Dr Mirjana Efremova in the Centre for Cancer Evolution, to investigate epigenetic regulators driving therapy
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Professor Dario Farina, in the Department of Bioengineering at Imperial College London. The focus of the research will be on the development of soft actuators, from material and structural perspectives, with
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our team and help in the development of a new class of precision therapies that remodel the tumour extracellular matrix (ECM) to convert immune-excluded tumours into therapy-responsive ones. These ECM
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development of Agent-Based Models (ABMs). These methods will be used to model doctors’ job choices, time allocation between public and private services, and hospital managers’ regulatory responses under
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methods to large biomedical multiomic databases, including unique expertise in handling large medical imaging databases. There is a strong focus on mentorship and career development. This post will support
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will develop the mathematical/computational tool-box to describe the evolution of ecDNA and test predictions of these theories in existing and newly generated cancer genomic data. The position will be