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13 Oct 2025 Job Information Organisation/Company CNRS Department Hétérogénéité, plasticité et résistance aux thérapies des cancers Research Field Biological sciences Researcher Profile First Stage
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signaling—shapes the development and tissue targeting of autoimmune disease, and how anti-self responses arise in cancer. The long-term goal is to develop innovative therapies for conditions that currently
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sources (ATP) and as secondary signaling molecules (cyclic dinucleotides). Synthetic analogues of nucleosides, nucleotides, and oligonucleotides represent a successful strategy to develop therapeutics
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tumors and metastases. Trends in Cancer (2024). 4) Biffi G. and Tuveson DA. Diversity and Biology of Cancer-associated Fibroblasts. Physiol Rev (2021). 5) Biffi G, et al. IL1-Induced JAK/STAT Signaling Is
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
dissecting how protein and glycan assemblies drive signaling and cell communication. Develop precision tools to selectively target disease-relevant assemblies, opening new therapeutic opportunities in cancer
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the face of DNA damage. On the other hand, we investigate the diverse signalling functions of the posttranslational protein modifiers, ubiquitin and SUMO. Most of our ongoing projects are therefore situated
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1 Sep 2025 Job Information Organisation/Company Medical University of Vienna Department Pharmacology Research Field Medical sciences » Cancer research Researcher Profile First Stage Researcher (R1
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carcinogenesis, DNA repair and genome stability, cancer signaling, tumor microenvironment and cancer immunology, cancer stem cells, tumor dormancy, tumor recurrence, and drug resistance, obesity and metabolism
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PhD Studentship in Physiology and Pharmacology Project title: Visualising Platelet Biogenesis: Intravital Imaging of Megakaryocyte Signalling in Real Time (UK fees only) Supervisors: Dr Alex Bye
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at the point of commencing this post, with experience in contemporary molecular cell biology, tumour metabolism, experimental modelling and bioinformatics as applied to translational cancer genomics, ideally