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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description POSTDOCTORAL ASSOCIATE, Plasma Science and Fusion Center, to join an MIT team in collaboration with the Princeton Plasma Physics Laboratory to operate x-ray diagnostics
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above-mentioned required diploma) in the fields of physics, engineering or equivalent. You have experience with experimental setups for high-resolution X-ray imaging and their applications You have good
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. You will develop methods to integrate diverse medical imaging modalities (e.g., X-rays, MRI, Ultrasound) with Electronic Health Record (EHR) data across heterogeneous cohorts and healthcare systems
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the UK as a global leader in research and development of high-power, high-energy, and durable batteries for heavy industry. The project brings together advanced multi-modal X-ray imaging and in-line
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, contributing to cutting-edge research with relevance to human health. You will support ultra-structural imaging experiments using cryo-imaging techniques such as cryo-SIM and cryo–X-ray tomography, alongside
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crystals to large-area X-ray imagers. The research is funded by EPSRC in collaboration with the NSF. About you Applicants must hold a PhD in Chemistry, Materials Science, Physics or Engineering (or be
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in nonlinear X-ray-matter interactions and ultrafast diffraction/imaging are targeted with this position as Postdoc in the MID group. For our MID group, we are looking for a Postdoctoral researcher for
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(Raman, fluorescence), electron-based microscopy, X-ray-based imaging, diffraction and spectroscopy, micro-/millifluidic device design and operation, image/video analysis, bacteria cultivation and
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resonance imaging (MRI) or focalized X-ray irradiator devices will be a plus. Experience on bioinformatic analyses (WES/WGS, (sc)RNA-Seq, ChIP-Seq, ATAC-Seq, Proteomics, Spatial Transcriptomics) and/or R
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-intelligence (AI) to improve radiation therapy treatment for patients with cardiac arrhythmias. In this project you will build new targeting technologies based on AI and x-ray imaging that solve the challenges