Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
through the EU Research Framework Programme? Not funded by a EU programme Reference Number 23/2025/2 Is the Job related to staff position within a Research Infrastructure? Yes Offer Description The Leibniz
-
scientific vision, planned research program, and its relevance to AngioCardioScience Two reference letters Please get in touch with any questions For scientific inquiries regarding the positions, please
-
Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
for extramural funding and build an own computational biology research group Your profile: A PhD (or equivalent) in Bioinformatics / Computational Biology More than 5 years postdoctoral experience with several
-
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
-
industry, with the REACT program serving as a strong foundation for their future success. Position and Requirements: At the Chair of Compiler Construction, we have a long-term vision of shaping how future
-
dynamics to ecosystem-level interactions. We are looking for a Team Leader with extensive expertise in genomics technologies, who would be excited by a dual position where they would both lead the GeneCore
-
to the success of the whole institution. At the Faculty of Computer Science, Institute of Computer Engineering, the Chair of Compiler Construction offers a project position, subject to the availability
-
vision. Bringing together researchers from physics, mathematics, computer science, communication, economics, and political science, along with leading professors, we drive excellence in research, agile
-
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
-
such as ecology, economy and social sciences. ZMT aims to use data science tools, including computer vision and deep learning, for the study of rapid changes in tropical coastal socioecological systems