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writing skills Evidence of publication track record Extensive experience and expertise in version control (e.g., Git) and reproducible research practices * Please note that this is a PhD level role but
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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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of your PI, to carry out experiments, trouble-shoot, generate and analyse data, to deliver on this BBSRC funded research project aims. Focus on, adapt, learn new methods and develop research objectives and
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modelling efforts. Duties include running and analysing experiments, developing and conducting individual and collaborative research objectives, proposals and projects. The role holder will be expected
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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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experience relevant to biomedical laboratory research, including cell culture techniques, and show a clear interest in the research topic, particularly renal pathology. A strong academic track record is
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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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. 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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prioritise own day to day work and resources to achieve agreed research objectives, leading the work of small teams of research assistants and/or research students as required. Undertake quality research and
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objectives are that all individuals shall have equal opportunities for employment and advancement on the basis of their skills, aptitudes and abilities. The MRC is committed to the engagement and retention