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Field
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observables, including: the spatial distribution and migration of seismicity, magnitude-frequency statistics and temporal clustering, source properties (strain drop, duration, moment-duration scaling), and
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The Mathematical Institute of Leiden University and the Centre for Mathematical Sciences of Lund University have a position for a PhD candidate to join the project "Analysis of Inhomogeneous Wave
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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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: Statistical programming and data analysis using R, Python, or Matlab, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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the University. Specific details of background, experience and skills can be found below. Applicants must have a PhD in neuroscience, or cognitive science with strong analytical skills combined with substantial
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Group focuses on biodiversity research, population ecology, and spatial ecology, with the aim of generating scientific knowledge useful for conservation and the sustainable management of agricultural
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assays, and statistical and computational biology to define mechanisms of cellular and humoral immunity to the transplanted organ and how alloimmunity is suppressed in patients receiving donor
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for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial information, applying hydrological models to simulate extreme floods
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statistical and simulation-based methods for estimating design floods for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial