12 communication-and-signal-processing Postdoctoral positions at University of Oxford
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signalling pathway at the plasma membrane. The lab undertakes a multidisciplinary approach spanning biochemistry/biophysics, cell biology and structural biology to address our research questions. In this role
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seismic instrumentation deployment, as well as familiarity with seismic signal processing techniques, such as phase arrival picking, phase association, earthquake location and relative relocation
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contribution of co-signalling receptors to this process. The post-holder will be involved in both molecular and cellular work. At a molecular level, the work will involve the expression, purification, and
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2026 Hours: Full Time (37.5 hours per week) About the role We are seeking to appoint a Postdoctoral Research Associate to join Prof Philip Biggin’s lab to investigate processes and mechanisms associated
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methodology including construction of bacterial chromosomal mutations. You will be highly organised with the ability to work both independently and as part of a team and have good communication skills. A good
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nanotubes, enables the exploration of thermodynamic processes at the nanoscale. Carbon nanotubes serve as exceptional nanomechanical resonators due to their low mass, high stiffness, and quality factor
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colleagues. Strong quantitative analytical skills are essential as is having excellent communication skills with the ability to write for publication and present research proposals and results and to represent
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groups. With a strong focus on human tissue use we are looking for this post holder to become one of the deputy human tissue point of contact for the department. This will be an advisory role guiding
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microscopy and image analysis would all be advantageous. You will be highly organised with the ability to work both independently and as part of a team and have good communication skills. A good publication
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potential to uncover new mechanisms governing the fundamental biological process of gene expression. The planned research, funded by an HFSP Research Grant, is a close collaboration between the Wrobel Lab