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-informed neural networks (PINNs) and potentially generative adversarial networks (Pi-GANs). These models aim to predict cell fate and tumor development in CRC. The postdoc will collaborate with both
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microscope. These cores also provide access to data and imaging analysis applications. The mission of these facilities is to provide high-quality and cutting-edge flow cytometry and cell imaging to our users
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Genomic Sciences supporting the research work of Professor Clare Davies (https://www.claredavieslab.org ) on the project which aims to understanding the significance of PRMT1-mediated methylation of an RNA
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We are focused on fostering education and training in research to develop microenvironments to investigate and instruct cellular behaviour including, but not solely, stem cell differentiation. Our
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of protein degradation, nucleocytoplasmic transport, and cell migration, gene expression, mechanisms that guide the morphogenesis of tissues, organs and organisms, stem cells in development and regeneration
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development Opportunities for training and personal development, e.g., language and other courses provided by MU, use of MU libraries, use of placements and mobilities abroad, participation in conferences, etc
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Apr 2026 - 13:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting
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sequencing data and to integrate multi-omics data to study cancer development and progression (work experience with the analysis of genomics data such as spatial and single cell, methylation, ATAC-seq etc. TCR
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science Researcher Profile Established Researcher (R3) Positions Postdoc Positions Application Deadline 10 Mar 2026 - 08:00 (UTC) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 8 days ago
integrate molecular and mechanical insights in developmental biology. Your tasks Develop computational pipelines to integrate single-cell transcriptomics, spatial gene expression, and biomechanical