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have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in
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must be able to demonstrate an excellent track record in one or more areas of AI. You will be expected to design, conduct and manage original research and deliver innovation projects in AI applied in
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experience in Oxford Nanopore Technologies (ONT) sequencing and bioinformatics A track record of research in microbiome science, metagenomics, whole genome sequencing, big data analysis, machine learning, and
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and Innovation Associate to join this ambitious project. You should hold a PhD in a relevant field such as applied/pure mathematics or physics and have an established track record of original research
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. You will have excellent communication skills including a track record of contributing to publications and presentations and an ability to contribute ideas for new research projects. Experience
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, Comparative Genomics, Transposon Biology, Cell biology, or Related Field Applicants will have a track-record of scientific output including peer-reviewed publications, or if a recent graduate pre-prints
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to completion) in atmospheric physics or related fields. Experience in atmospheric physics and track record in atmospheric modelling and the constraint of atmospheric models with observations are essential as
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advanced optical spectroscopic techniques and modelling, e.g. ultrafast (sub-picosecond) photoluminescence, absorption or photoconductivity techniques. Knowledge of semiconductor physics and a track record
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ability to manage your own academic research and associated activities. You will have excellent communication skills including a track record of contributing to publications and presentations. Experience
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, immunology, microbiology, molecular biology, cell biology) * Track record of publication or clear potential for publication in leading biomedical journals Extensive experience in major molecular biology