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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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Specification Hold or be close to obtaining PhD in theoretical physics or related area High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques
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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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to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. We are looking for up to two Postdoctoral Researchers
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to ensure the efficient and timely completion of the study. The University of Southampton is committed to excellence in all we do, applying our insights and inventiveness to solve the most complex societal
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Intervention Responsive Studies Team (PHIRST) Fusion, funded by the National Institute for Health Research (NIHR), Public Health Research (PHR) Programme. You will perform the role of Knowledge Exchange Broker
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analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones. Fundamental knowledge concerning
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time management and problem-solving skills. Ability to design, modify and operate experimental and pilot equipment; to make and interpret observations reliably. Ability to communicate complex information
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interdisciplinary project you will also build a stage to allow subsequent characterisation of these MDa. complexes via microscopy. You will develop standard operating procedures for the instrument using, large
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quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential Experience in applying computational methods to research