Sort by
Refine Your Search
-
Application deadline: 05.10.2025 Tasks To perform an independent experimental or computational PhD project in the fields of neuroscience, biochemistry, ophthalmology, and / or datascience. Profile Completed
-
) and German (desired) High motivation for scientific work and willingness to work in an interdisciplinary team WE OFFER: A broad education and training in the structured graduate programme of our highly
-
, to characterize immune cell dynamics in murine models of inflammation and cancer. RESPONSIBILITIES: Developing and performing computer simulation of MRI contrast of labelled cells and tissue Labeling and tracking
-
. Details about each PhD project and Principle Investigator can be found on our website: https://dresdencondensates.org/projects/ . Tasks: Performing independent research work on one of the scientific themes
-
qualified women to apply for the position. Your tasks #designing, planning and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques #developing computational codes
-
profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
-
Master's theses participation in national and international research projects The position comes with access to high performance computing resources and access to training opportunities within ScaDS.AI
-
The position is funded for 3 years (65% TV-L E13), starting on January 1st, 2026, within the framework of the TTU HIV program of the German Center for Infection Research (DZIF). Project Description: Although
-
interdisciplinary research team. We study tumor evolution and immune microenvironment adaptation by combining functional genomics, experimental model systems, patient samples, and computational biology (Brägelmann et
-
computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW method reliably