Sort by
Refine Your Search
-
design and laboratory experimentation, you will first explore a broad range of sodium-oxide glass compositions using advanced computer models to predict how well ions can move through them. Based
-
on stability. Testing the model in standard stirred tank apparatus Refining the model to allow predictability between different types of apparatus. Defining an algorithm for testing enzyme stability
-
developing the competences of the IML group within prediction of T and B cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working
-
will be centered on further developing the competences of the IML group within prediction of T and B cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics
-
-pathogen interaction assays; Biofilm models; Proteomics & LC-MS/MS. DC12: Optimizing bioreceptor function in interaction with graphene. Based on modelling/prediction of interaction of receptor molecules
-
pathogenesis and host-pathogen interaction assays; Biofilm models; Proteomics & LC-MS/MS. DC12: Optimizing bioreceptor function in interaction with graphene. Based on modelling/prediction of interaction
-
to the cyclotron motion of electrons near the plasma center. However, recent models predict that as these waves traverse the plasma edge, they may be influenced by non-linear plasma–wave interactions. Some studies