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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
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image
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the areas of signal processing for wireless communication systems including satellite communications and radar systems and is currently expanding its research activities in exploring several emerging use
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Labeling and Imaging“ Dr. Gražvydas Lukinavičius Am Fassberg 11 37077 Göttingen Germany www.mpinat.mpg.de/ Information pursuant to Article 13 DSGVO on the collection and processing of personal data during
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hypothesize that key developmental processes, such as trabeculation, compaction, vascularization, and postnatal hypertrophy, must be recapitulated to ultimately generate a mature cardiac organoid model
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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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for candidates who aim for an academic career. We will walk you through the process of transitioning from a postdoc to an independent researcher. Our postdocs have been successful in their career development
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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
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learning, where PhDs and postdocs receive comprehensive insights in the cellular processes underlying gene expression, as well as a clear view of their medical importance and potential for a future research