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. This project aims to overcome that limitation by extending our high-throughput metabolic fingerprinting platform into 3D cancer models such as spheroids and organoids. By combining untargeted metabolomics, high
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quantitative analysis of 3D datasets. Extract relevant measurements (porosity, defects, internal structure, dimensional measurements). Generate technical reports, figures, and summaries of results. Job
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Biol. 2023;435:167951. https://hal.science/hal-03929029 [2] Valimehr S (AUS), Vuillemot R (FR), Kazemi M (AUS), Jonic S (FR), Rouiller I (AUS). Analysis of the Conformational Landscape of the N-Domains
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project at the forefront of microscopy and bioimage analysis (https://www.msca-agile.eu/ ) and contribute to OMERO integration and optimization of Biom3d, a cutting-edge deep-learning framework for 3D image
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analysis components and is part of a collaborative effort within the PEPR Cell-ID network. The successful candidate will be responsible for: ● Designing and implementing chromatin tracing experiments (Hi-M
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concepts and communicate them to clients in 2D and 3D Proficiency in user research methods, usability testing protocols, risk analysis tools, and rapid prototyping. Mastery of Stratasys Polyjet J850 and FDM
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TLDR: Build AI methods for 3D particle detection and structural analysis in cryo-electron tomography data, applied to chromatin organization and synaptic molecular targets. Please include a cover
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executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational structural biology projects are especially relevant. Discuss results, limitations
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cells and the microenvironment; analysis of the role of extracellular vesicles in intercellular communication and modulation of the tumor microenvironment; development of novel therapeutic strategies
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in accelerating Sweden’s transition to green hydrogen by combining 3D