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must be ranked favorably by both CCB and Oncology. Research You will lead a ground-breaking scientific program addressing basic research questions with a pronounced translational potential. You have a
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by both CCB and Oncology. Research You will lead a ground-breaking scientific program addressing basic research questions with a pronounced translational potential. You have a collaborative mindset
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
computational models to interpret complex biomedical data across multiple scales. Our innovations in tissue clearing, 3D microscopy, and AI-driven pathology have been featured in leading journals (Nature Methods
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description [Background
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studies at Aalto University School of Electrical Engineering. Thus, please see the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical
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, and transcytosis in the context of malaria immunology. Develop and optimize 2D and 3D endothelial-based assays to evaluate molecular modifiers of IgG handling and to investigate mechanisms
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groups in AI, 3D modelling and T-cell immunology, leading TCR discovery and TCR-biologics companies, a cancer vaccine research group running clinical trials, and the national super-computing center
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to the 3D Arts program, ensuring student success by managing the ceramics studio, glaze area, kiln room, sculpture studio and sculpture classroom. The position will be responsible to maintain equipment
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in one or more of the following areas: multi-view 3D reconstruction; computational geometry and 3D vision; plant or crop modelling; computer vision for robotics; multi-modal and multi-spectral sensing
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://tmi.utexas.edu/facilities) and the Micro Electronics Research Center (https://mrc.utexas.edu/facilities). Computational resources include the Texas Advanced Computing Center (TACC: https://www.tacc.utexas.edu