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progression and therapy resistance. This position will leverage cutting-edge approaches including spatial transcriptomics, CRISPR-based functional genomic screening, and patient-derived xenograft (PDX) models
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in any of the following areas would be highly valued: prior work on fishery community profiling using established methodology; scholarly review and compiling datasets; statistical and spatial analysis
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material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics with realistic material constraints and
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with ecosystem service models and spatial datasets. Key Competencies Strong programming skills (Python/R/JavaScript) for tool and interface development. Ability to implement or learn GeoTOPSIS/VectorMCDA
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with 1000× increase in time resolution and 10× improvement in spatial resolution over prototypes. Such an instrument enables to measure the structure of heterogeneous systems including ageing concrete
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. We apply these advanced imaging technologies to clinically meaningful model systems in order to evaluate their robustness, scalability, and added value for translational research. By combining super
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interpretable framework for tensor analysis. Specifically, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for
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and conduct complex in vivo and ex vivo experiments focused on fibroblast biology, ECM remodeling, and tissue mechanics using advanced mouse models. Apply histological, imaging, and molecular approaches
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Your Job: Healthy brain function relies on dynamic changes at the synapse. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and
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experience working with spatial data. Experience meteorological and pollutant transport models. Familiarity with measurement methods in atmospheric sciences (e.g. lidar, particle counters) A valid category B