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of the temporal and spatial distribution of the generated emissions in the atmospheric layers after the re-entering launch vehicle has passed through is therefore crucial for drawing conclusions about their climate
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an interest in T cell development and single cell & spatial omics to join the team. We are a dynamic and international lab with a focus on the functional characterization of the molecular mechanisms
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Application by: 15. 12. 2025 Apply for this programme Detailed description of the programme Offer of dissertation topics: Spatially sliding classifications of atmospheric circulation patterns: a novel tool for
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immersive hardware such as VR headsets, 360 cameras, and spatial audio systems. Additional information To apply for the role please follow the below link. https://emeritus.darwinbox.in/ms/candidate/careers
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transplant rejection through cutting-edge spatial multi-omics and computational metabolic modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial
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and spatial transcriptomics. Where to apply E-mail positions@gimm.pt Requirements Research FieldOtherEducation LevelBachelor Degree or equivalent Specific Requirements Profile of Candidate: We
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Lab aims to reveal how metabolism, oxidative stress, and cell death converge to shape cell fate. For more information about the Henry Lab, please visit: https://thehenrylab.squarespace.com/ For more
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maps of the distributions of small molecules within the cell. Determining the spatial distribution of small molecules within cells is crucial for understanding fundamental biological mechanisms, but it
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
Responsibilities: Benchmarking existing and developing novel computational approaches for inference of microRNA activities from single-cell/nucleus and spatial omics (NGS, MassSpec). Interrogation of GWAS data
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an approach based on 3D imaging and numerical simulation. The objective is to support the development of the most "infiltrable" ex-PIP matrices by characterizing the spatial organization of these porous media