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, Mechanical Engineering, and Surgery & Cancer. What you would be doing: The post will support the multispectral imaging theme of the Hub award, and you will be expected to play a key role in developing and
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technologies on the vacuum Space Coronagraph Optical Bench (SCoOB), coronagraphic image post-processing for existing and future space telescopes, simulation of coronagraphs for future missions including
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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models
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Directed Energy Deposition (DED) process for metallic components. The PhD candidate will focus on edge computing and the application of AI for data analysis and for identifying correlations with ground truth
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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
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institutions of Cambridge and UCL. You will hold a PhD in Optical Imaging/Physics, Biophotonics, Medical Imaging, Image Guided Intervention or a closely related discipline, or equivalent research, industrial
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Knowledge, Skills, and Abilities PhD in Neuroscience is required. Experience with in vivo imaging in head-fixed behaving mice is required. Experience with Arduino microcontrollers for the design and control
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Position Description The Unsteady Flow Diagnostics Laboratory (UNFoLD) led by Prof. Karen Mulleners at EPFL in Lausanne is looking for multiple PhD students to join the group in the fall of 2025 or early
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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square foot Tower are several state-of-the-art treatment technologies, including: three Varian TrueBeam linear accelerators with optical surface imaging; respiratory gating and a 6DoF couch; an M6