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research and implementation. You will also develop novel algorithms using state-of-the-art computer vision and machine learning techniques (segmentation, multimodal AI, foundation models, agentic frameworks
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, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming, analysing and interpreting data, and contributing to innovative solutions that support maritime
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the analysis of proteomic data, as well as experience in spatial proteomics (laser capture), single cell proteomics and MALDI Imaging. Previous research experience in the genetics of human disease is desirable
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the Centre for Human Genetics and the Mathematical Institute, you will collaborate with leading mathematicians, computational biologists, experimental scientists and clinicians to develop innovative approaches
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fixed-term post, running and analysing experiments defining LRRK2's role in Parkinson's disease. LRRK2 mutations are among the most common genetic causes of the disease, and LRRK2 inhibitors are now in
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codes and process their results. Helping to develop new models and algorithms to simulate pulse propagation, the material response, and other aspects of our experiments. Coding in Julia and python. Take a
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wellbeing. The Opportunity: We are seeking an experienced and highly motivated Postdoctoral Research Associate with expertise in quantitative genetics to join the Baillie Laboratory (www.baillielab.net ), led
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phenotyping in murine models with integrated molecular, cellular, genetic, and metabolic approaches to investigate how hypoxic stress alters cardiometabolic regulation. Experimental work will include advanced
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to completing one, in molecular biology, gene regulation, biochemistry, genetics, genome biology or a related biomedical field. Previous experience with B cells, immunology or cancer biology is not essential
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This is a full time, fixed term position for 3 years. The post holder will undertake research to develop and optimise genetically engineered plants capable of removing methane from the environment