523 postdoc-parallel-computing positions at University of Sheffield in United Kingdom
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. Experience required: 1st or 2:1 degree in Engineering, Physics or other relevant discipline. Experience in computational modelling would be a benefit. Funding Notes This is a self funded project. View
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Effective and Efficient Visual Presentation of Machine Learning Outputs Derived from High-Dimensional Data to Clinicians (S3.5-SMP-Alix)
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Perovskite radio-voltaics: using perovskite solar cells to create next generation nuclear batteries (S3.5-MPS-Ramadan)
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Finding and measuring growing black holes in the next generation of astronomical surveys
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Tailoring the Thermomechanical Properties of High Performance Aerospace & Automotive Composite Materials
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Quantum Dot Sensors for Next-Generation Optical Sensing Applications (S3.5-ELE-Hobbs)
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Topologically constrained physics-informed machine learning for modelling complex spin textures (S3.5-COM-Ellis)
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Combining Experimental and Computational Biophysics to Understand the 'On/Off' Switches of Cellular Machines (C3.5-MPS-Ciani)
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Computational photochemistry/Vibrational control in transition metal complexes
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societal costs. Recently, computational models based on in vivo microCT images have shown high potential to assess the biomechanical properties of bones. In this project, we will aim to show that microCT