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Field
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are looking for a person to work on the following tasks: Computational laboratory work in acquisition, reconstruction and image analysis in MRI Development and improvement of MRI methods Application of methods
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biomechanical analyses of cambial and xylem tissues, using microscopy, image segmentation and AFM-based measurements of vascular tissues. Carrying out molecular analyses including RNA sequencing, gene regulatory
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Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg | Sweden | about 1 month ago
imaging data – to enable rational drug target identification as well as to increase our understanding of the underlying biology. Aim 1. Develop a mathematical model for Ca2+ signaling in both single and
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Hospital, and with experts in mathematical modelling at the translational research hub IceLab , Umeå University. Work responsibilities As a postdoc in our team, you will be an integral part of a dynamic and
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maintaining reproducible and modular data analysis workflows Solid understanding of statistical methods and their application to transcriptomics and image-derived data Familiarity with public biological data
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of siRNA and shRNA, qPCR), working with mouse embryos, immunofluorescence and imaging (such as confocal microscopy). Good competence of standard software including the statistical software Prism. Experience
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-term employment as a full-time postdoc for two years with access according to agreement. Apply by September 15, 2025. The application should include CV and cover letter Certified curriculum vitae
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to staff position within a Research Infrastructure? No Offer Description Do you want to contribute to top quality medical research? As a postdoc in this project, you will be part of KIRI
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printer and Prusa 3D printer Creation of illustrations and graphics with Adobe Illustrator and Photoshop, or similar software Editing of images with Adobe Lightroom and Photoshop, or similar software
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, BCI), physiological data, and medical image/microscopy analysis. Excellence in foundational and applied research, demonstrated by publications in leading AI/ML and medical imaging venues (e.g., MICCAI