Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
the sustainability of animal-source foods. The position combines spatial analysis, livestock systems modeling, and environmental assessment to inform regional food system planning and grazing-based production
-
the TME are relevant to tumour evolution and patient survival outcomes [2-4]. This PhD project will seek to investigate the prognostic value of spatial immunophenotypes in lung cancer combining high-plex
-
functional genomics, supported by extramural funding. Develop novel technologies and/or apply advanced spatial analysis to study tissue microenvironments in health and disease. Engage in undergraduate
-
to the Dillon Lab’s multidisciplinary research program evaluating the sustainability of animal-source foods. The position combines spatial analysis, livestock systems modeling, and environmental assessment
-
to complementary expertise in energy systems, spatial analysis, and artificial intelligence. The PhD position will be formally hosted at Empa, with opportunities for research stays at partner institutions in
-
for therapeutic intervention. This PhD project will leverage large-scale single-cell RNA-seq and spatial transcriptomics datasets from infection biology to develop models, including transformer-/graph-based models
-
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 6 hours ago
, generating and analyzing high-dimensional data, and integrating single-cell insights with complementary datasets produced within the project. You will: Design and execute single-cell and/or spatial
-
Quantifying the distribution of the energy flux through the solar atmosphere generated by ubiquitous multi-scale vortical plasma motions School of Electrical and Electronic Engineering PhD Research
-
methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
-
methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating