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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
radiologists involved in the projects. Training and research environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision
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. The work will be carried out in the Archaea group, Section for Microbiology, Department of Biology with collaborations for Cryo-EM & correlative imaging (EMBION) at iNANO & the Department of Molecular
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ERC postdoc positions in vascular, computational, and cardiac biology - Mendjan lab, IMBA, Vienna BioCenter The Mendjan lab aims to understand human heart development and disease through pioneering
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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
of the position. The position is placed in the highly interdisciplinary Advanced Instrumentation for Nano-Analytics group at LIST’s Scientific Instrumentation and Process Technology unit. During the past ten years
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/Electronic Engineering, Computer Science/Engineering, or a closely related field, with a strong background in wireless communications and/or radar signal processing Solid understanding of 3GPP 5G NR (ideally
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natural and AI-designed protein domains, along with an engineered fusogenic protein. The technology has been recognized with the m4 Award, the GO-Bio next program, and is currently under revision in a top
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engineering, computer engineering and applied physics, with a solid academic background in biomedical imaging and AI and an excellent research track record. Candidates should demonstrate a strong academic track
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Company description NUMA is a research section within the Department of Computer Science of KU Leuven, with 12 permanent staff members and approximately 60 PhD and postdoctoral researchers. NUMA