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-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith . Our lab studies spatial population genetics, using simulation-based inference and machine learning to infer
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System Interferometric Reflectometry (GNSS-IR) can be combined with satellite Earth observation and land-surface modelling to produce more accurate, spatially detailed and temporally frequent soil moisture
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, spatial and phenotypic data. The post-holder will use these data to identify metabolic programmes associated with distinct tumour states and therapeutic vulnerabilities, and to determine how metabolism
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are not fully integrated into the exploration of subsurface exploration workflows due to data resolution limitations and challenges in modeling. This knowledge gap limits our understanding of resource
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, and hypothesis generation. Integrate transcriptomic, epigenomic, spatial transcriptomic, and other multi-omics datasets. Perform gene regulatory network, transcription factor, pathway, and cell-state
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Computational pathology and digital pathology using whole slide imaging (WSI) Spatial biology, spatial transcriptomics, and multi-omics data integration Large language models (LLMs) and foundation models
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spatial modeling workflows (e.g., Rasterio, GDAL, Xarray) or suitability/prediction modeling applications. Familiarity with statistical and machine learning libraries in both Python and R (e.g., scikit
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models that includes breeding colony management and genotyping. Performs advanced 3D and spatial imaging (confocal, LSFM, Xenium spatial transcriptomics) and associated computational image analysis
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, Katholieke Universiteit Leuven, Department of Human Genetics, Belgium (Academic); Dr. Domenico Bellomo, SkylineDx B.V., Netherlands (Industry) Project description: DC2 will develop a 3D spatial FUN-G&T-seq and
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 7 days ago
genetic engineering. Candidates should be familiar with single-cell and/or spatial RNA-sequencing and mice models to develop multi-omics method for profiling of intraocular tumours. The successful candidate