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We invite applications for a 24-month postdoctoral scientist position to join our team within the project ReFuel: Harnessing archaeal processes to capture carbon dioxide into alkanes as renewable
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Postdoctoral Fellow in innate immunity Employer: Mount Sinai School of Medicine Research lab: Teunissen lab Institute Biomedical Engineering and Imaging Institute PI: Dr. Abraham Teunissen Location
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. Nature Physics20, 970 (2024)). You will also work on expanding our coherent imaging methodology to look at dynamics and phase switching in materials at the nanoscale (Johnson et al. Nature Physics19, 215
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, and deep generative models (e.g., VAEs, normalizing flows, diffusion models). Hands-on experience in multi- and hyperspectral image processing (e.g., IDL/ENVI) and RTM inversion (e.g., ARTMO
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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immunogenicity. Over the past decade, this process has been well characterized, and robust methods have been developed to predict it with high confidence. In contrast, our understanding of the principles governing
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artificial intelligence-driven techniques for image processing Excellent proficiency of oral and written English in a scientific context Meriting criteria are: Experience with µCT or other tomography imaging
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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ICT Services & Applications. Your role The successful candidates will join the Computer Vision, Machine Intelligence and Imaging research group, led by Prof. Djamila Aouada, to conduct research in
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), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy