Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
experimental data. Develop computational frameworks for integrating spatial and bulk multi-omics datasets. Create and apply statistical and machine learning models for feature extraction, data harmonisation, and
-
for publication and present findings at international conferences Contribute actively to other projects within the research group Requirements PhD in statistics, epidemiology, or a related discipline Experience in
-
sustainability-related topics. At the PhD level, you supervise researchers working on land use science and spatial modelling. You write project proposals to fund PhD students and Postdocs that use a systems
-
IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | 15 days ago
resources and their ecosystems. The PhD supervisory team brings together complementary expertise in spatial modelling, marine ecology, fisheries science, and maritime spatial planning. Internal collaborations
-
-statistics-ml-at-the-oslo-centre-for-biostatistics-and-epidemiology-ocbe Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/298100/phd-research-fellow-in-ma… Requirements Research
-
(SHRUG), and others) to map multidimensional violence and multidimensional poverty and gender. The role involves managing, harmonizing, and analysing complex survey datasets, and generating statistical and
-
on complex problems involving the development of new theories and methodologies. The research will be largely focused on the development of predictive computational tools for the analysis of the spatial spread
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
: Advanced degree (PhD) in statistics or bioinformatics relevant field. Experience with analysis in R. Essential Skills: Degree in statistics or bioinformatics relevant field. Three or more years of analysis
-
Candidate Profile Training and Skills required (Recent) PhD in bioinformatics, statistics, or computer science with knowledge and interest in biology Track record of creativity in developing analytic
-
communities • Multivariate statistical analysis of community and environmental datasets • Spatial analysis and georeferencing of ecological data using GIS • Development and implementation of species