Sort by
Refine Your Search
-
to the application deadline. What you will do Apply and extend computational models of metabolism (constraint-based genome-scale models, resource allocation models) to interpret multi-omics datasets in the context
-
, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception, decentralization and mission
-
, and reproducible computational environments supporting large-scale analyses in Linux and HPC environments helping maintain and improve the group’s computational infrastructure collaborating closely with
-
reasoning and task planning - Multi-agent collaborative decision-making for autonomous missions in complex, large-scale environments Duties The duties of a Postdoc primarily comprise research. You will
-
other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. This project is established in collaboration between LTU and
-
metaproteomics approaches Analyzing large-scale multi-omics and clinical datasets to investigate individual metabolic responses to diet. The work includes applying advanced statistical and machine learning methods
-
large-scale, high-dimensional datasets including multi-modal data integration and hands-on experience with high-performance computing (HPC) environments Ability to work independently and in
-
Laszlo Bakó (molecular biology) and Torgeir R. Hvidsten (comparative genomics). The environment provides comprehensive support for large‑scale multi‑omic data generation/analysis and transformation
-
comprehensive support for large‑scale multi‑omic data generation/analysis and transformation/embryogenesis services for functional validation. Nathaniel is also an associate group leader at the Science for Life
-
extend and complement the current generation of the biomass data product. A large-scale training data set will be generated for the biomass algorithm. The training data will be based on other remote