Sort by
Refine Your Search
-
level. The position requires working collaboratively with a team of experimental and computational biologists to integrate genetic and genomic data with mathematical modeling to better understand
-
Position Summary Plant defense is not a static biological process – it is influenced by dynamic factors such as ontogeny, morphogenesis, tissue type, and the circadian clock. Our research program
-
dementias. We use a combination of iPSC-based systems and transgenic mouse models coupled with novel approaches including single-cell sequencing, CRISPR–Cas9 screening, and interactome profiling. The work
-
associated clinical outcomes. The fellow will be responsible for identifying computational approaches for data selection, processing, and predictions/inference. The expected outcome of the project is to
-
Position Summary This position will focus on integrating high-resolution field monitoring, remote sensing, and statistical and numerical modeling approaches to improve predictive flood hazard
-
. The successful candidate will be a member of a highly interdisciplinary team including oncologists, biologists, engineers, and imaging scientists. The candidate will develop computational models of human disease
-
. Responsibilities: Exhibit command of HIV modeling, including the methodology and its components. Independently carry out quantitative analyses and participate in reciprocal research projects. Interpret and vet
-
measurement. Additional duties involve microbial population analysis (16sRNA), chemistry analysis (N, P, metals), and statistical modeling. The role also entails lab management, including cleaning and safety
-
, to define novel biomarkers, and to identify novel therapeutical targets. We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models
-
positions starting in Autumn 2026. The INT’s local research interests include QCD, lattice gauge theory, quantum computing, many-body theory and nuclear structure, nuclear astrophysics, effective field theory