32 computational-cell-signaling-post-doc Postdoctoral positions at University of London
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hours BST on Tuesday 27 May 2025 Interview Date: Friday 06 June 2025 Reference: CBS-0080-25 We are seeking to appoint a skilled and motivated researcher to join our team. This post-doctoral research post
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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: 23.59 hours BST on Tuesday 26 August 2025 Interview Date: Wednesday 03 September 2025 Reference: PPS-0210-25 We are seeking a highly motivated Post-Doctoral Research Assistant aiding the development
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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About the Role Applications are invited for a Barts Charity-funded Postdoctoral Research Associate post to join the laboratory of Doctor Mathieu-Benoit Voisin within the Centre for Microvascular
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About the Role Applicants are invited to apply for a 12-month full-time BHF-funded post-doctoral position to join Dr Manikandan Subramanian’s team investigating the macrophage mediated clearance
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will compare the development of annelids and molluscs and combine single-cell transcriptomics with classic embryological approaches and state-of-the-art computational methods. The findings from
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for an outstanding, post-doctoral researcher with proven expertise and practical experience in relevant techniques including cell culture, organ-chip models, tissue engineering, and musculoskeletal biology. The PDRA
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techniques (including PCR) and cell imaging. Previous experience of organ-on-a-chip approaches or in vitro models and experience of working in musculoskeletal tissues is desirable but not essential. The post
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of Excellence for 12 months. The successful applicant will lead a multi-organisation collaborative project focused on leveraging novel epigenetic datasets obtained from patient-derived tumour stem cells