Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description Quantitative analysis of lipid nanoparticles (LNPs) using Cryo EM is challenging due to heterogenous
-
research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis
-
this limitation by integrating experimental data with modern generative deep-learning models of protein conformational dynamics. The project will use structural proteomics methods that measures local protein
-
our understanding of their evolution is still limited. Genetic conflict situations such as sex ratio meiotic drive have long been implicated in the fast evolution of sex chromosomes and may thereby
-
model organisms, their application in conifers remains limited due to challenges associated with tissue structure, nuclei isolation and sensitivity to inhibitory compounds. This project aims to develop
-
precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and