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the spatial and temporal transferability of the models. • Projection of the relationships obtained in future climate scenarios using ADAMONT projections to assess how gravitational crisis episodes will evolve
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-diffusive(-thermal-chemical) behavior of fiber-reinforced composites at the micro/meso-scale. These models will incorporate uncertainty via stochastic inputs, such as random field representations of spatially
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the tissue response around the materials will be followed by multimodal approaches including (among others) time-lapsed in vivo imaging, multiphoton intravital microscopy, spatial transcriptomics and
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including, implementation of spatial light modulation, single cell photostimulation/inhibition used in conjunction with in vivo calcium imaging. Assist with transferring new experimental methodologies
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spatial confinement within coordination cages, with an emphasis on the synthesis of pharmaceutical building blocks containing four-membered heterocycles. Who we are looking for The applicant
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of High-Throughput Mass Spectrometry Data, Single-Cell and Spatial Omics Data Analysis, Biomedical Data Integration and Visualization, Computational Systems Biology and Network Medicine, Computational
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. Strong programming skills in languages like Python or R. Professional experience in the application of Machine Learning algorithms in the mapping and correction of spatial data. Professional experience in
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version control systems. Excellent analytical, writing, and communication skills in English. Desirable Experience developing and evaluating models for time series, tempo-spatial, and/or probabilistic
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high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners, we have an excellent environment for basic-clinical
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university assistant with a doctorate/PhD for the following areas of responsibility Particular research focuses include spatially resolved single-cell technologies (spatial multiplex single-cell multi-omics