Sort by
Refine Your Search
-
theoretical ecology, geosciences, applied mathematics, environmental physics, or a related field. Research experience in numerical modelling, preferably with knowledge of either eco-evolutionary models and/or
-
the code “CNTR_25.2” (e.g. “Mustermann,Max_CNTR_25.2”). Please note that there is no application deadline for this application process. Applications will be reviewed in an ongoing manner until
-
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 at www.senckenberg.de for further
-
(MPPT). Your profile: We are looking for motivated individuals (m/f/div) with a Ph.D. degree in Electrical Engineering, Materials Science, Physics, or a related field. Candidates should have a proven
-
as part of the application process to: the members of the selection committee, personnel administration, the equal opportunities officers, the inclusion officer and the works council within the scope
-
for this advertised position. The legal basis for data processing in the application process and as part of the personnel file is Section 26 (1) sentence 1 BDSG and Art. 6 (1) (b) GDPR and, if you have given your
-
Contributing scientifically to the BMD project, specifically through developing VREs and identifying available biodiversity and environmental data resources relevant for VREs Attending virtual and physical