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., Pettersson, H., Behrens, A., Männik A., 2018. Comparing a 41-year model hindcast with decades of wave measurements from the Baltic Sea. Ocean Engineering, 152, 57–71. https://doi.org/10.1016/j.oceaneng
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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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in person in São Paulo and involves single-cell and spatial transcriptomics analysis, integration of multi-disease datasets, investigation of cell–cell communication, and the development
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machine learning models. ● Prior experience using spatially distributed hydrologic models, specifically those with snow mass and energy balance components Minimum Qualifications: Requires a minimum of a
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) Scale up forest dynamics predictions from stand to landscape level. As the PhorEau model cannot be run in a fully spatially explicit manner at large spatial scales, the PhD candidate will interpolate
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. Continuous observations, carried out over long periods, are at the heart of the research conducted at ISTerre. They are essential for understanding, modeling, and anticipating the natural processes visible
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using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience
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spatial point process models for the emergence and arrangement of objects (including birth-death dynamics, merging, and non-overlap constraints) with methods from shape analysis, in particular stochastic
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, or probabilistic modeling, and be proficient in Python and modern machine-learning frameworks (ideally PyTorch). Experience with single-cell transcriptomics, epigenomics, proteomics, spatial omics, or multimodal
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driving sex-specificity in tumorigenesis, organismal development, and spatial biology of the liver. To do so, we intersect large-scale genetic analysis utilizing experimental models with spatial and single