Sort by
Refine Your Search
-
to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ With the submission of your application, you consent to your personal data being shared with an external member of
-
on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website
-
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
-
or see http://www.dpz.eu. For more information about the Leibniz Association see www.leibniz-gemeinschaft.de
-
assimilation. The task for the successful candidate is to generate atmospheric fields for given time instances that are as close as possible to a given set of pointwise observations. The candidate will train a
-
knowledge of the mesosphere and lower thermosphere by developing and exploiting expertise in atmospheric physics, instrumentation, analysis and modelling to serve emerging societal needs – such as questions
-
to improve existing methods for the detection, prevention and treatment of lung diseases and to develop new, innovative therapeutic approaches. JOB DESCRIPTION We are seeking a highly motivated PhD
-
family office Who we are: Our mission is to advance the scientific knowledge of the mesosphere and lower thermosphere by developing and exploiting expertise in atmospheric physics, instrumentation
-
at developing a functional feed for salmonid fishes, documenting the effect of species-appropriate swimming on carbohydrate utilization. The project is funded by the Federal Office for Agriculture and Food (BLE
-
Using AI Research & Development) focuses on assessing the CO₂ storage potential of seagrass meadows and identifying climate-resilient restoration sites in the Baltic Sea. The EU TRANSEATION project