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the recruitment process. To Be Successful You Will Need A PhD qualification in a relevant discipline, e.g. aerospace/computer/electrical/mechanical or mechatronic engineering Knowledge of machine learning, image
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and experience. About Swinburne University of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different
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. Job Requirements: PhD in Electrical and Electronic Engineering, Computer Engineering / Science, or related field Expertise in robotic system Familiar with ROS1 / ROS2 Good publication track record is an
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synaptic and cellular studies using patch-clamp electrophysiology, large-scale population recordings using 2-photon Ca2+ imaging in awake behaving mice, and advanced modeling + machine learning analyses
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plasticity. We study questions at a variety of levels, Ranging from synaptic and cellular studies using patch-clamp electrophysiology, large-scale population recordings using 2-photon Ca2+ imaging in awake
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lab investigates how neural circuits process visual information and drive behaviour, as well as the evolutionary development of these visual systems. By studying a myriad of vertebrate species, we aim
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Stig Brøndbo 9th June 2025 Languages English English English Faculty of Science and Technology PhD Fellow in sea ice remote sensing research Apply for this job See advertisement The position A
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sufficient to carry out image processing and data analysis. Skills in hypothesis-testing, experiment design, analysis of data sets and writing scientific manuscripts and reports. Demonstrate enthusiasm
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the Portfolio Manager and Clinical Director & Academic Lead. Areas of current projects for example are: Artificial intelligence for imaging interpretation Medical technologies for stroke characterization Case
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engineering, membrane mechanics, biomolecular assembly and related techniques, mechanical modeling and simulation is highly preferred. Experience in advanced microscopy, super-resolution cell imaging, machine