163 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" positions at Leibniz
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
project management skills strong programming experience (e.g. Python, Linux Bash scripting, CDO). expertise in processing large-scale data sets, especially NetCDF files is a plus specialist knowledge in
-
its employees in reconciling work and family life and regularly undergoes the audit berufundfamilie® . Further information at: http://www.ifw-dresden.de . The Nanostructured Thin Film Materials (NTFM
-
track record in biological, agricultural or environmental sciences. Sound statistical or programming skills to study biodiversity in space and time are required. Candidates must have demonstrated
-
inform policy-making and program design, with the aim to support risk management and adaptation to climate change. The work is carried out within different third-party funded projects and in cooperation
-
. 5 MB; packed PDF documents, archive files like zip, rar etc. Word documents cannot be processed and therefore cannot be considered!) and use the button “e-mail application” below. https://jobs.zalf.de
-
background in neurobiology Strong interest in studies on sleep in model organisms such as zebrafish Familiarity with statistics and programing experience with Python Previous experience with neuroimaging is
-
of 1 or 2 references Submission will be accepted until 30 December 2025. https://www.leibniz-inm.de/en/job-offers-2/ For more information on the institute, please see: https://www.leibniz-inm.de/en
-
, Physical Oceanography, and Marine Observation) cooperate within the framework of a joint research program. Project and job description Within KOFI, the long-term carbon storage of marine sediments and the
-
to program in the statistics framework R, and have worked in Python and Java Knowledge of metabolomics or chemistry will be an advantage Our benefits: Excellent working conditions in an international
-
research project, and the training programme is available on the RTG webpage (https:// www.uni-goettingen.de/rtg2906). Applications are due by 15.01.2026. We ask you to submit your written application as a