146 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" "St" positions at Leibniz
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
– company pension plan Senckenberg is committed to diversity. We benefit from the various expertise, perspectives and personalities of our staff members and welcome every application from qualified candidates
-
English-language skills. Experience with programming is highly recommended. Above-average interest in the topic, we consider self-motivation and the ability to face new professional challenges as self-evident
-
: development and coordination of the wind erosion monitoring program, the development and adaptation of measurement methods and modelling approaches both in the ZALF part of the project and between the involved
-
Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
until 15 January 2026 to (see button e-mail application below). https://jobs.zalf.de/jobposting/70f91c6251650b58347f943683a60c00ccd3b5750 If you have any questions, please do not hesitate to contact us
-
information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is November 17, 2025. Please apply via our applicant
-
increasing sustainable economic prosperity and social participation under constantly changing conditions. Want to know more about us and your career opportunities? Come and meet us at https://www.ifo.de/en
-
number: 43-2025 Project Coordinator) in the field of Climate and Policy, starting on 01.03.2026. You can get a first overview over the project here: https://whatworksclimate.solutions/ The position is
-
extensive support through the graduate school (IRTG:(https://sfb1436.de/de/graduate-school/). Your profile: MSc in Neurosciences, Life sciences or related fields Experience in behavioural and molecular
-
funding programme therefore invites young scientists in Southeast Asia to submit project applications for field and/or laboratory research, in particular for explorations and excavations of new fossil sites
-
a relevant subject area (e.g., sociology, economics, social sciences, empirical education research) Very good knowledge of quantitative analysis methods and confident use of statistical programs