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will work within the **“Molecular Hematology – Blood Signals”** team, under the supervision of **Dr Eirini Trompouki**, at the **Institute for Research on Cancer and Aging of Nice (IRCAN)**. IRCAN is a
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and the various components of the tumour microenvironment. The research will primarily be conducted using patient-derived glioblastoma models and will combine approaches from cell and molecular biology
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with LP2M teams (immunology, iPSC models) as well as from the project's international clinical and scientific network (Prof. Claus Peter Schmitt, Heidelberg; UCA GenomiX and MICA platforms, Nice
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) biometrics, with methodological developments in statistics, computer science, and mathematics for modeling living organisms; (ii) ecology and evolution, studied from the molecular and genomic levels
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to medium level skills in programming, image analysis and electronics • Solid knowledge and hands-on experience in light and electron microscopy. • Solid formation in genetics, statistics and molecular
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imaging, metabolomics/lipidomics, extracellular-vesicle-associated molecular profiles, experimental GBM models and patient-level information. The project will also explore how tissue-level metabolic
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matter. The diversity of the topics we study allows us to tackle both long-standing and emerging problems by combining modeling and experimentation at the highest level. Located on the Monod campus
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have access to state-of-the-art facilities, including cleanroom microfabrication, laser micromachining, 3D printing, advanced microscopy, and numerical modeling tools. The project benefits from a close
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, biophysics, biochemistry, and molecular modeling, developing experimental and numerical approaches for the study of complex molecular systems. Within this institute, the Biophysics of Complex Systems team
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; • Interest in generative modeling and modern AI methods; • Motivation to work at the interface of artificial intelligence, statistical physics, and molecular biology; • Good scientific communication skills in