Sort by
Refine Your Search
-
provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
-
environments (e.g., Mininet, NS-3), MANO platforms (e.g. OSM) Solid understanding of 5G/6G network architectures and technologies is considered a strong asset Proven software engineering and coding skills (e.g
-
) Collaborate within the CPE research group and our local, national and international networks Report your results in peer-review scientific publications and international conferences Teach and supervise PhD, MSc
-
. Postdoctoral Researcher – Automated Correlative Image Analysis for BlueMaterials Reference code: 992 Work location: Rostock Join the Cluster of Excellence “BlueMat: Water-Driven Materials” (www.tuhh.de/bluemat
-
seek to understand, at scale, how DNA variation rewires regulatory networks, shifts cell states, and drives human disease, and to translate these insights into better diagnostics and therapeutics
-
causal networks that govern cellular behavior from large-scale single-cell datasets. Our group has pioneered computational approaches for: Inferring causal networks from Perturb-seq (interventional single
-
benchmarked through comparisons with traditional PSHA models. The work will involve developing reproducible open-source codes and participating in an international research network linking seismology, geodesy
-
regulatory circuitries driving disease-relevant cells and seek to understand how mutations in the non-coding DNA of such cells can drive disease, including cancers, through gene misregulation. The successful
-
to understand, at scale, how DNA variation rewires regulatory networks, shifts cell states, and drives human disease, and to translate these insights into better diagnostics and therapeutics. To achieve this, we
-
. Responsibilities include processing large-scale sequencing data, developing and benchmarking methods for splicing and regulatory network inference, integrating multimodal data with clinical information