24 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" research jobs at Leibniz
Sort by
Refine Your Search
-
the "audit berufundfamilie") – employee ID card with free admission to municipal museums – annual special payment – collectively agreed vacation entitlement – company pension plan (ZVK) Senckenberg is
-
- Integrating exudation into the root economics space to better understand carbon and nutrient cycling in managed grasslands” is part of the DFG Priority Program 1374 “Biodiversity Exploratories”. The project
-
, Geography, Environmental Physics or related fields A strong interest in plant ecology and climate change Strong Programming skills in C++, the language of the LPJ-GUESS code, or another fundamental
-
Solid programming skills (e.g., Python, MATLAB, C/C++ or similar) Experience in MR sequence programming is highly desirable Strong interest in translational, across-organ imaging research Ability to work
-
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
-
admission to municipal museums – annual special payment – collectively agreed vacation entitlement – company pension plan (ZVK) Senckenberg is committed to diversity. We benefit from the different expertise
-
candidates at the GWZO participate in the program of the Integrated Research Training Group of the Graduate School Global and Area Studies (GSGAS) at Leipzig University and in the GWZO’s research colloquium
-
between biodiversity and climate change. The postdoctoral position is embedded in the the collaborative project Past to Future: towards fully paleo-informed future climate projections (P2F; https
-
: Prof. Stephanie Pfänder) https://www.leibniz-liv.de/forschung/forschungseinheiten/emerging-viruses . Candidate requirements: PhD in a relevant field (virology, immunology, molecular and cell biology
-
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