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of the wearable, diagnostic device and signal processing aspects of several world-first multi-modal studies seeking to assess and quantify the effect of repetitive head impacts on short-term and long-term
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microscope (HS-DAFM) control software and signal processing circuits. These systems are critical for capturing high-quality nanotexture images from skin samples collected across five countries and four
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between the physical and biomedical sciences focused on cell motility and the cytoskeleton, muscle signalling, stem cells and developmental biology. About the role Manipulating a morphogen in time and space
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Researcher Associate to work in the laboratory of Professor Malcolm Logan based in the Randall Centre for Cell and Molecular Biophysics , which is part of the School of Basic & Biomedical Sciences . We sit
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ONLY About Us This role sits in the Research Department of Surgical & Interventional Engineering within the School of Biomedical Engineering & Imaging Sciences. About The Role This position is part of
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/Biomedical Sciences Internal Number: 368265 Classification: Post-Doctoral Associate (9546) Anticipated Start Date: July 1, 2025 Anticipated End Date: September 30, 2025 About the Junge Lab: The Junge lab
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of the wearable, diagnostic device and signal processing aspects of several world-first multi-modal studies seeking to assess and quantify the effect of repetitive head impacts on short-term and long-term
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techniques for 4 years. The planned research projects will focus on the molecular characterisation of adaptive stress responses shaping inflammatory signal transduction cascades. By means of multi-omics
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an appropriate field (e.g. Immunology, biomedical science, biochemistry, Molecular biology) and/or have relevant experience at an equivalent level, together with some hands-on experience in animal handling, flow
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: Ph.D. in Electrical Engineering, Applied Mathematics, Biomedical Engineering, Mechanical Engineering or related fields. Preferred Experience: Experience in MRI and post-imaging processing Preferred Field