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, The Rockefeller University, Scripps Research Institute, Karolinska Institute. Technology and Resources: Norway's first 2-photon intravital imaging system for immunology. A novel, rapid AAV-mediated technology for
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Requirements: PhD in geophysics, geology, geomatics, geodesy, geomatics, electrical engineering, computer science, natural hazards, or a related field Demonstrated skills in remote sensing, image processing
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Science Institute and the Nano and Micro scale research Centre. You should have or working towards a PhD in Engineering, optics or physics. Knowledge or experience on the use of Spectra Physics tsunami
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for imaging Apply for this job See advertisement About the position Position as PhD Research Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
inhibitors or CRISPR technology, accessing proteomic results from immunospheroid cultures. The work to be carried out by the PhD fellow includes the curation and management of a blinded clinical database
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therapies and clinical trials. Your responsibilities will include: processing FASTQ and BAM/CRAM files, and producing variant call files, generating input data for AI tools and implementing secure
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the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image
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engineering, and drug delivery approaches for improving human health in a sustainable manner. Currently, three directions are being explored: (1) engineering probiotics to secrete biologics such as nanobodies
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9 Oct 2025 Job Information Organisation/Company Universidade de Coimbra Research Field Engineering » Computer engineering Engineering » Electronic engineering Researcher Profile First Stage
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they are developing Required Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience