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for this position have a great interest and knowledge in data analysis, filtering and modeling based on large amounts of data. It is important that you have a solid understanding of mining and mining systems to also
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using a novel 3D bioprinted human skin model to study tumour–microenvironment interactions. By combining tissue engineering and cancer biology, the project contributes to a deeper mechanistic
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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transversal skills : Expertise in polymer processing technologies including 3D printing Skills in microstructural analysis and mechanical modelling Knowledge in plant biology and/or plant biomechanics Internal
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), Shom (Service of Hydrography and Oceanography of the French Navy), and CNRS-LMA. The project is running until the end of December 2028. The goal of the proposed work is to perform 3D numerical modeling
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al. Nature Genetics 2020, Costea et al. and Schoeberl et al., Mol Cell 2023, Mol Cell 2025). For a list of ongoing projects and publications, please visit: https://www.kcl.ac.uk/research/pavri-group
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
position on ocean modelling within the ERC Stuod (Stochastic transport in ocean dynamics). Odyssey (for Ocean DYnamicS obSErvation analYsis) is a recently created team involving researchers from Inria
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– specifically focusing on “360 cameras” as the main sensor modality. The works will develop multi-session visual SLAM pipelines and feed-forward reconstruction (e.g. VGGT, MapAnything) to project rich 3D
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. For more information about the RNA Technologies Flagship, visit: https://rna.iit.it/ The project aims to develop a new generation of artificial intelligence models to systematically investigate the role
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14 Jul 2026 Job Information Organisation/Company Institute of Macromolecular Chemistry CAS Department Department of Biological Models Research Field Chemistry Researcher Profile Recognised