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Field
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the establishment of an independent, extramurally funded research program. Candidates should have expertise and demonstrated experience in working with human primary tissues, single cell RNA-seq, spatial
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that are technically well-grounded and at the same time represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster
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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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PhD level in an appropriate discipline, and you will have sufficient breadth or depth of knowledge in physical acoustics and information theory. You will have knowledge of appropriate research methods
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meteorological phenomena across difference scales, that impact wind energy, and vice versa. Our research is needed in the process of planning, designing, and operating wind energy installations. This can be at
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for the position of research assistant professor with a significant outreach component. Expectations of the position will be to develop an externally supported research program in agroforestry and contribute
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, national origin, race, religious and spiritual beliefs, sex, sexual orientation, socioeconomic status, physical appearance, medical diagnosis, documentation status, and veteran status with special attention
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on the application process, please contact the School's HR Team on mmllpersonnel@admin.cam.ac.uk . The closing date for applications is midnight (BST) on Sunday 15 June 2025. Click the 'Apply' button below to register
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Organisation Job description As a researcher, you will play a key role in developing and implementing the DNPP’s research programme. Your responsibilities will include conducting independent and
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the establishment of an independent, extramurally funded research program. Candidates should have expertise and demonstrated experience in working with human primary tissues, single cell RNA-seq, spatial