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Field
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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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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. 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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based on magnetic resonance imaging (MRI). The PhD candidate will work on a project where the goal is to develop methods (acquisition and processing) within diffusion-weighted MRI for characterization
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collaborations is focused on development of diagnostic methods based on magnetic resonance imaging (MRI). The PhD candidate will work on a project where the goal is to develop methods (acquisition and processing
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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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, communications, science and technology. Our students are at the heart of everything that we do, and we are committed to supporting them to pursue their career and personal ambitions. Our research is engaged
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in several tropical ocean locations. A successful candidate should have: A PhD (or equivalent) in geochemistry. Experience in the operation of single and/or multi-collector plasma mass spectrometer
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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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. The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd-programmes/phd-programme-in