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Job id: 114265. Salary: £44,355 - £45,497 per annum (Including London Weighting). Posted: 02 May 2025. Closing date: 01 June 2025. Business unit: Faculty of Life Sciences & Medicine. Department
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
Barbosa from the BioEO group and Dr. Claudia Codeço from the Fundação Oswaldo Cruz (https://fiocruz.br). Climate change poses a critical threat to tropical forests and human well-being, particularly in
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. Ready to be part of our team? Let’s shape the future together! Your personal sphere of play: A PostDoc position is available in the group of Verena Pichler at the University of Vienna, Department
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drug and disease research in multiple projects in the group. The candidate is expected to lead a drug development project and support other group projects. This will include lab experiments, analysing
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Biology you will be performing laboratory experiments and data analysis to support drug and disease research in multiple projects in the group. The candidate is expected to lead a drug development project
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physiologically relevant models will provide crucial platforms to mimic disease pathology, and better understand and treat tendinopathy. The project will generate tendon-chips using in-house commercially available
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signalling and alleviate dementia-related symptoms in patients with Parkinson’s disease and other neurological conditions. The post-holder will play a key role in leading research using transcranial ultrasound
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, Genomics, Biochemistry). Expertise in genome editing or genetic therapies. Experience in primary cell culture or disease models. Strong molecular biology skills. Experience working collaboratively and good
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analysis and is increasingly used in cancer research to uncover morphological features linked to disease pathology and severity. Similarly, molecular profiling through ‘omics technologies has provided new
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disease. Together with other members of the team, the post-holder will design parallel tasks for rodents and humans and apply comparable analytical approaches to data across species. Cell and circuit