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the knowledge of metabolism and its regulation associated with tumour development, various aspects of molecular and cellular biology, with special interest in the development of 3D cell models, genetics
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); LUH (Germany) DC4 – Generative AI for super-resolution & artificial 3D tomography of crystal zoning Host/PhD: Leibniz University of Hannover (Germany) | Supervisor: Prof. Monika Sester Secondments: NU
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afford a Princeton education. Connections working at Princeton University More Jobs from This Employer https://main.hercjobs.org/jobs/21933900/associate-research-scientist-x-ray-imaging-crystal
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this, the TUNIC project aims to develop a 3D tumour-on-chip (ToC) model incorporating primary neutrophils, tumour cells, and CD8+ T cells. This model will investigate the direct and indirect killing capacities
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design process. Implement computational-based approaches for the exploration of sustainable design solutions utilizing generative AI and advanced computational design technologies (ex. Rhino 3D
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, immunohistochemical staining and imaging, live cell imaging, ELISA, Western Blot, RT-PCR, protein/DNA/RNA extraction and purification, fluorescence microscopy, experimental design, CAD and SLA 3D printing. Analytical
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processing, biospecimen intake, and organoid establishment with an emphasis on NF1-associated tumors as well as sarcoma and other rare cancers. • Seed and expand tumor organoids, including bioprinting or 3D
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. The scolarship holder will join and support our team with some of the following tasks: a) Develop efficient HPC algorithms for estimating varying (in time and 3D space) ionospheric electrodynamics using
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or colleagues. EXPLANATION OF THE JOB DUTIES THAT THE SELECTED CANDIDATE WILL PERFORM: Optimization of the high-resolution solar interferometric imaging and self-calibration loop. Extraction of wave-modes and
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implement multimodal retrieval with re-rankers for robust profile selection. Design and train advanced AI models for digital twin: 3D model learning, prediction models from imaging and molecular data, model