Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
identification of potential biomarkers. Expand the model to simulate dynamic interactions between pancreatic cancer and stroma cells to uncover self-sustaining ligand secretion patterns. Predict molecular targets
-
identification of potential biomarkers. Expand the model to simulate dynamic interactions between pancreatic cancer and stroma cells to uncover self-sustaining ligand secretion patterns. Predict molecular targets
-
scientific fields and a multitude of educations ranked highly in international comparison. Recent breakthroughs at Umeå University include deciphering the molecular mechanisms of the bacterial CRISPR-Cas9
-
is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
-
patterns in the TME from patient data, aiding classification of disease states and identification of potential biomarkers. Expand the model to simulate dynamic interactions between pancreatic cancer and
-
approaches (QM/MM, molecular dynamics, free energy methods, machine learning). The PhD candidate will work closely with other PhD students, postdocs and senior scientists of the lab in an interdisciplinary
-
approaches (QM/MM, molecular dynamics, free energy methods, machine learning). The PhD candidate will work closely with other PhD students, postdocs and senior scientists of the lab in an interdisciplinary
-
, surface tension is particularly challenging to model computationally due to the long time-scales and sensitivity to simulation parameters needed. Obtaining a better understanding of how molecular structure
-
/MM excited-state dynamics simulations of photoactive proteins (this postdoc position) and (2) extraction of meaningful information from the complex, feature rich simulation data with the aim
-
use of machine learning for data analysis, mathematical modelling, statistics and computational simulation of molecular biological data. The subject specifically aims to develop and apply machine