Sort by
Refine Your Search
-
Program
-
Field
-
modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian hierarchical modeling using Integrated Nested Laplace Approximation (INLA). The work will contribute to ongoing
-
of Oslo. Job description A fully funded PhD position is available on the development of spatiotemporal statistical modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian
-
technologies for target and TCR identification, and to couple clinical immunotherapy trials with penetrating mechanistic analyses. The research is performed in an interdisciplinary and translational program. The
-
-imaging Experience with correlative optical microscopy methods, e.g., combining quantitative phase microscopy with fluorescence microscopy. As the target applications involve organoids and viruses
-
mapping epigenetic aberrations that enable identification of novel cancer targets. This project funded by the Norwegian Cancer Society focuses on the mechanisms underlying chromatin interactions and gene
-
. The project targets modeling formation dry-out and salt precipitation during CO2 storage. The candidate will work on developing numerical models for salt precipitation at pore- to continuum-scale, with special
-
English scientific writing skills In this role, you should have expertise in psychiatry, to be able to design the analyses to target relevant clinical questions background from the health care sector and