Sort by
Refine Your Search
-
physiological balance. Perform LC/MS based proteomic analyses of circulating proteins and assess their impact on organs in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic
-
us The High-Energy part of the Theoretical Subatomic Physics group performs research into elementary particle physics from model building and Dark Matter to formal Quantum Field Theory
-
model building and Dark Matter to formal Quantum Field Theory. Organizationally we are part of the division of Subatomic, High-Energy and Plasma Physics within the Department of Physics . We have a
-
of progenitor-to-tumor cell niche transitions, focusing on the esophageal epithelium. Duties The current project will be centered around characterizing changes in local cell-cell networks during early esophageal
-
approach combines behavioral experiments, psychophysiology, computational modeling, and brain imaging (fMRI). We offer a dynamic, international research environment where you can contribute to top-level
-
in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings
-
. The group currently consists of a bioinformatician, a clinical pathologist, and three PhD students. We are part of Lund University’s Cancer Center at BMC and belong to the Department of Laboratory Medicine
-
Hospital, and with experts in mathematical modelling at the translational research hub IceLab , Umeå University. Work responsibilities As a postdoc in our team, you will be an integral part of a dynamic and
-
that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
-
qualitative approaches like interviews and workshops, and experimental work involving the development and evaluation of prototype systems. The current position has been planned for modelling sustainability and