Sort by
Refine Your Search
-
manuscripts based on the project data for publication in international peer-reviewed journals. The position offers opportunities for co-authorship with members of the BIG PEACE research team, alongside
-
experience, particularly in clinical and registry-based research. Experience working with quality registries and large-scale datasets (big data). Experience in statistical analysis and the use of
-
computational component and will include advanced deep learning methods for image analysis and genomic data integration to identify molecular programs associated with different functional cell states
-
detecting whole-chromosome and segmental aneuploidies using genotype-array and whole-genome sequencing data. The project uses large-scale genetic datasets from pregnancy losses and population-based
-
to heat and carbon fluxes across the air-sea interface, and between the upper ocean and its deep interior. The PhD will use a combination of existing field data (primarily from autonomous platforms
-
cognitive assessments and register-based data on sociodemographic and lifestyle factors; (II) establish and validate meaningful threshold for cognitive tests and BBMs against reference methods such as CSF
-
function will also be studied. Laboratory findings will be integrated with clinical data to investigate associations with treatment response, durable remission, relapse and treatment-related toxicities
-
healthy controls persons. The project will combine clinical cohorts, molecular biology techniques and advanced data analysis, providing a solid foundation in translational medical science. Eligibility