Sort by
Refine Your Search
-
organismal systems across diverse biological contexts. Using a blend of cutting-edge experimental and computational approaches, we strive to decode and model complex biological processes—from single-cell
-
cutting-edge structural, computational and systems biology approaches, including combining high throughput perturbations (genetics and chemical) to multi-modal readouts (cellular and omics), to gain
-
, an innovative and visionary research programme, and personal and intellectual leadership, rather than age or seniority. In addition, Max Planck Directors demonstrate readiness to maintain an open, respectful
-
for Computer Graphics Research IGD in Rostock in the field of digital health technologies as part of the joint Digital Health Campus; a contractual connection to the Fraunhofer IGD for the joint use of resources
-
transfer. Its current five-year scientific programme, Molecules to Ecosystems (2022–2026), aims to deepen our understanding of life — from molecular mechanisms to complex ecosystems — with a strong emphasis
-
State programme promoting young researchers (Tenure-Track Programme). The professorship is affiliated with the department of Medical Systems Biology (https://www.med.uni-wuerzburg.de/en/systemimmunologie
-
Master Thesis - Development of ligand conjugated lipid nanoparticles for targeted T cell delivery...
biological samples' 3D structure and molecular identity. At iBIO, we bring together cutting-edge science from biology, chemistry, engineering, and computer applications. Our overarching aim is to obtain a
-
Public Health and Epidemiology as well as in the medical curriculum (MeCuM). It will also be involved in the specialist training programme for Public Health physicians. The LMU offers an excellent
-
(www.stelloslab.com) is an internationally recognized research group at the forefront of RNA biology and cardiovascular science. We harness integrative computational and experimental strategies to unravel how RNA
-
experimental planning, bioinformatic consulting, and in-depth data interpretation, where applicable Your qualifications Master’s degree or PhD in Bioinformatics, Computer Science, Applied Statistics, or a