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Field
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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
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Outer Membrane Vesicles (OMVs) from attenuated, genetically modified Salmonella strains; - Key activities involve applying reverse vaccinology pipelines (in silico epitope prediction and 3D molecular
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-4DµXRD results. Implementing crystal plasticity finite element models that use the experimental data as input and to understand the observed local strain heterogeneities You will work in close
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the invasive comb jelly Mnemiopsis leidyi, one of the very few animals known to produce coelenterazine, as model organism in our laboratories at University of Copenhagen. Apart from studying bioluminescence in
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analysis for brain metastasis research. Utilizing hESC/iPSC derived human cerebral organoid for in vitro 3D models to examine the microenvironment of brain metastasis. Adopt optogenetic and chemogenetic
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both 2D and 3D models, for experimental studies. The ideal candidate will demonstrate a strong record of accomplishment in a relevant area of biomedical research, evidenced by first-author peer-reviewed
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research and to drive in vitro drug target and mechanistic discovery efforts using 3D triple culture system based on iPSCs. The cell lines will be derived from participants of the Flemish Cognitive Compass
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strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics