69 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" positions at Nature Careers in Germany
Sort by
Refine Your Search
-
, Environmental Sciences, or a related field excellent analytical skills and interest in theoretical and applied modeling required: demonstrated programming experience (knowledge of R, Python and/or GAMS would be
-
, or quantitative behavioral biology etc. The position is intended to strengthen the faculty’s research focus on “Biotic Interactions in the Anthropocene” (https://go.ur.de/biotic-interactions), ideally collaborating
-
program and a broad range of other research activities. Successful candidates will have the freedom to work with the research groups of Roderich Moessner, Marin Bukov, Ashley Cook, Libor Šmejkal, and
-
LMU Munich. The group is located within the Institute of Clinical Neuroimmunology (https://www.neuroimmunology-munich.de/ ). The professorship of Systems Neuroimmunology is part of the Cluster
-
the Medicine, Dentistry, and Midwifery degree programs. The successful candidate must have an excellent doctorate, outstanding academic achievements, and experience in acquiring competitive third-party funding
-
websites. Application Process Applications for both programs must be submitted online by January 14, 2026: https://www.uni-goettingen.de/de/application/556704.html Applicants will be asked to upload a CV
-
related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
-
available PhD programs, with three years funding, in collaboration with the University of Göttingen. Master’s students aiming at a fast-track PhD are also welcome. The Postdoc position is limited to two years
-
for a candidate with the potential to build a world-leading, independent research program in the field. You will be responsible for appropriately representing the field of machine learning in digital
-
analysis is expected; familiarity with scientific programming environments (e.g. Python, R, or similar) is highly desirable interest in policy-relevant science and sustainability frameworks strong motivation