39 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Babes Bolyai University" research jobs at University of London
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recent papers at https://edon.github.io/publications.html . About You We are seeking highly motivated, original, and independent candidates with a strong theory background. Candidates must have a PhD (or
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data from a recently completed clinical trial (https://www.nejm.org/doi/full/10.1056/NEJMoa2408114 ), you will build and evaluate multimodal machine learning models that integrate these data to predict
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strong culture of support for Teaching Focused academics within the Department, with regular career development and training opportunities provided. In return we offer a highly competitive rewards and
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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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of Aarhus is a partner), and contribute to open-source tools that will benefit the wider software development community. You will be expected to conduct independent research, publish in leading academic
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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