142 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" positions at Leibniz
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
two letters of reference) by January 31st , 2026. Conveniently use our online application system: https://www.leibniz-inm.de/stellenangebote/ The INM is an equal-opportunity employer with a certified
-
Notice at https://zzf-potsdam.de/en/privacy-notice provides you with comprehensive information on how your personal data is collected, processed and used. It also contains a link to a PGP public key
-
button e-mail application below). https://jobs.zalf.de/jobposting/87eff4d83746c879e13de920a790b7de9799bed80 If you have any questions, please do not hesitate to contact us: Dr. Mathias Hoffmann
-
application is successful. You can find further information on this website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the position please contact
-
(at)tum.de . More information on the working group can be found here: https://www.leibniz-lsb.de/en/research/research-sections/section-i . Please send your application, including a tabular CV, motivation
-
at andreas.mulch(at)senckenberg.de For data protection information 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
-
upload your CV and motivation letter, by February 15th , 2026 via the online application system: https://www.leibniz-inm.de/en/job-offers-2/ For further information on this position, please contact INM
-
processes the personal data of its applicants in accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: https
-
regulations. Further 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 February 2, 2026. Please apply
-
methods, and/or computer science specifically panel surveys and machine learning Excellent knowledge of English and good knowledge of German The ability to work in interdisciplinary and multi-local teams We