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existing strengths in the Department of Physics . We seek candidates conducting research in experimental Quantum Condensed Matter Physics that bring transport and thermodynamic techniques to bear on 3D
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. To overcome these limitations, the TUNIC project will utilize a “phenotype-first” approach. This involves: Creating a 3D “tumor-on-a-chip” (ToC) model: This model will incorporate primary human cells
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with cell culture, 3D models and in vitro assays. Experience in phototherapy, programming and large data analysis is a plus. Excellent communication skills and fluency in English (written and oral). Our
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physiological and chemical biology of proteins like ion channels and proteases. The group tackles questions in the field of ion channels and proteases with innovative physiological, 3D modeling, structural
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Research Infrastructure? No Offer Description Mission: Develop software to visualize radiological variables. Functions to be developed: Develop software to visualize radiological variables in 3D in real time
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
tissue analysis. Your tasks Developing AI-driven virtual staining pipelines for cancer tissue analysis Design and train generative AI models that transform unlabeled or 3D tissue images into realistic
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Researcher in Structural Analysis for 3D Concrete Printing to join our R&D and Engineering team in Barcelona (Spain). The researcher will play a key role in the design, modelling, and structural validation
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the candidate's declaration of honor). Experience in the area of human cell culture, particularly in 3D, in the use of fluorescence microscopy and flow cytometry techniques, in the analysis of 3D cell viability
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. This requires the integration and analysis of large ionospheric and ground-based data sets, together with the development of sophisticated high-performance computing (HPC) strategies and simulation tools. In
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for developing novel 3D scene understanding methods. We will first aim at representing individual objects with 3D primitives given partial point clouds in an unsupervised way. This will be done by leveraging our