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opportunity for an enthusiastic and motivated postdoctoral fellow in data-sciences and biomedical informatics to work on exciting human and veterinary health studies, such as the identification of novel
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experiments to test and refine DNA extraction and library construction workflows. iii. Operate and interpret results from analytical instruments, with particular emphasis on using the Agilent Bioanalyzer
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Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
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health sciences, social sciences, or economics Experience in qualitative research and/or health economic methods High-level analytical capability Ability to communicate complex information clearly Ability
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Licence (or equivalent in home country) Experience of using in vivo mouse models to assess immune responses High level analytical capability Ability to communicate complex information clearly Ability
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degree relevant to research area (health impact assessment) or equivalent qualifications High level analytical capability Ability to communicate complex information clearly including to non-academic
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completion) relevant to research area (immunology). Expertise in flowcytometry and/or fluorescent microscopy. High level of analytical capability, especially in the understanding and analysis of large data
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for analysis of routinely collected healthcare data. They will have experience in designing and implementing economic evaluation models, including decision-analytic modelling, and good knowledge
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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with substantial expertise in data science/AI methods Strong publication record in relevant areas Demonstrated ability to work across disciplinary boundaries Strong analytical skills and experience in