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Are you a creative postdoctoral-scientist keen to explore novel in-situ biology with cryogenic electron tomography? Do you have a background in imaging technologies and/or image processing? We
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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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focus on research and development in Atmospheric Pressure Matrix-Assisted Laser Desorption/Ionization (AP-MALDI) mass spectrometry and molecular imaging, using high-resolution Orbitrap MS instrumentation
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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