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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
of tropical forests in the Amazon and on how these relate to the distribution of vector-borne diseases in the Amazon forest. The post holder will carry out their research, advised by the PI and Dr. Milton
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computational partners who will provide candidate antigen predictions from tumour RNA and genomic datasets. It is essential that you currently hold a PhD/DPhil (or close to completion) in a relevant field such as
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background in (computational) physics or another exact science at an academic level • A background in software engineering • Aptitude for understanding and analysing scientific concepts • Proeficiency in
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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on a research programme which aims to obtain quantitative information regarding long term outcomes in early breast cancer. Contributing to several projects, you will collate and link data, design
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computing and associated increases power demand and procurement costs. This role will support the creation of a network of experts, a team of champions and a portfolio of community projects to provide UKRI
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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across the clade, and reconstruct geographic distributions of key nodes and fossil taxa. About you You will hold or be close to completion of a relevant PhD/DPhil, together with relevant experience. You