Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
leverage large-scale AI models to: integrate heterogeneous EO data sources, such as satellite, aerial and in-situ data, across spatial and temporal scales; enable zero-shot or few-shot learning for rapid
-
. Your results will support cross-moon comparisons and help decode JWST’s spatial and spectral variations. PhD 3 | Ocean–surface transport modelling You will model how ocean material is transported through
-
expertise, including facilities for high-throughput screening and high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners
-
, Statistics, Bioinformatics, Applied Math, or related field. MS or PhD degree is preferred but not required. Required qualifications ? Substantial expertise in training deep learning models and tuning large
-
to usher in the era of personalized disease modeling? The Digital Twin Innovation Hub is currently seeking skilled and experienced individuals to fulfill a variety of full-time temporary staff roles
-
Transformation (GALLANT): https://www.gla.ac.uk/research/az/sustainablesolutions/ourprojects/gallant/ . This post will be based in Work Package 2 ‘Biodiversity and societal benefits of ‘natural’ urban habitats
-
, infectious disease modelling, mutational signatures in cancer, -omics data applications, spatial and temporal analyses, pharmacoepidemiology, quasi-experimental methods, implementation science, generative
-
the spatial distribution of woodburning emissions. Integrate observations into inversion modelling to refine regional and national emission inventories. Model the impact of woodburning on UK air quality and
-
and spatial conditions influence energy performance and thermal comfort. By combining spatial mapping, data modelling, and fuel poverty metrics, the project will identify where health risks are most
-
spatial transcriptomics, with the ultimate goal to understand and harness immune responses in human diseases. The Engblom and Villablanca labs form a tight-knit collaborative team of scientists with diverse