Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
available in the further tabs (e.g. “Application requirements”). Programme Description The International Climate Protection Fellowship supports prospective leaders working academically or practically in
-
, geosciences, mechanical/electrical engineering, or a related field Very good understanding of data analysis and/or machine learning Programming experience, ideally in Python and C (additional languages such as
-
materials, sensors/biosensors, polymer science, and micro-/nanofabrication techniques is desirable Very good written and spoken English skills Our offer A vibrant research community in an open, diverse and
-
good programming skills in C/C++ very good command of written and spoken English We offer: excellent supervision in an outstanding scientific environment unique opportunities for collaboration with local
-
available in the further tabs (e.g. “Application requirements”). Objective the programme aims to foster strong, internationally oriented higher education systems in Latin America with the capacity
-
literature survey. A preliminary research proposal is required for the application stage with a timetable for a four-year research project. Execution of the research plan through conducting of experiments
-
programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
-
the Research Training Group "AirMetro - Technological & Operational Integration of Highly Automated Air Transport in Urban Areas" (RTG 2947) , funded by the German Research Foundation (DFG
-
of the research plan through conducting of experiments, sample and data analysis and write up of results for scientific publication are part of the PhD process – a journey to become an independent researcher
-
interest in energy technology, energy economics and policy issues Experience in programming with Python or a comparable programming language Experience in energy system modelling is an advantage Highly