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Reconstruction of atomic resolution images from sparse datasets of radiation sensitive materials in scanning transmission electron microscopy School of Electrical and Electronic Engineering PhD
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Research Scientist Required Qualification: (as evidenced by an attached resume) ● Doctoral degree (or foreign equivalent) in optical imaging, biomedical engineering, microbiology, multi-omics
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. Basic Qualifications: PhD in electrical/computer engineering, computer science, or a related discipline A minimum of 8 years of relevant experience in image/signal processing and machine learning
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. Activités The PhD will employ a combination of simulation, optical engineering, and experimental validation: • Imaging processing and control algorithms: Use and develop existing coronagraphic simulation
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Eligibility criteria a. A PhD degree in Computer Engineering, Telecommunications Engineering, or related disciplines, or an equivalent degree obtained abroad. Pursuant to Article 38, paragraph 3 of Legislative
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mechanical or mechatronics engineer with experience in robotics and physical system development to join Prof Christos Bergeles’ Group in the School of Biomedical Engineering & Imaging Sciences, King’s College
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Engineering, Computer Science, or a related field. Master’s or PhD in Electrical Engineering, Computer Science, or related discipline. Research or technical experience. Research experience in machine learning
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researchers and participate in the recruitment of additional researchers. Responsible for scheduling and performing MRI scans, as well as archiving and post‑processing imaging data. Contribute to the writing
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geometallurgy. - Collaborating with geochemists, mineralogists, and engineers to orient data processing toward applications related to resource inventory, quality assessment, and transformation processes. Profile
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with cryo-EM/ET data processing, tomographic reconstruction, or related inverse problems in imaging. Familiarity with molecular dynamics simulations (e.g., OpenMM, LAMMPS) and/or synthetic data