10 wireless-communication positions at Luxembourg Institute of Science and Technology
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
software tools (using the Python language) to manipulate input-output databases (from EXIOBASE) and adapt them to several families of scenarios including forecasts of energy mixes, industrial efficiencies
-
meetings, effectively communicate findings in a professional fashion in both oral and written form and take a leading role in the protection / dissemination of the work, while interacting constructively
-
language Python and specialised open source packages. Requirements Research FieldBiological sciences » BiologyEducation LevelMaster Degree or equivalent Skills/Qualifications Is Your profile described below
-
. Experience and skills A senior researcher with 8+ years of demonstrated postdoc expertise in digital energy business models, particularly in areas like energy communities, virtual power plants, and renewable
-
skills Flawless knowledge of English (both spoken and written) is required. Knowledge of German and/or French and/or Luxembourgish is considered as an asset. LanguagesENGLISHLevelExcellent Research
-
, happy to work with others and motivated to make a difference in what you do. Language skills Good level (C1) of both written and spoken English is essential. LanguagesENGLISHLevelExcellent Research
-
13 Feb 2024 Job Information Organisation/Company Luxembourg Institute of Science and Technology Research Field Geography » Other Engineering » Communication engineering Researcher Profile Recognised
-
System Dynamics Previous experience in writing scientific reports and articles Language skills Flawless knowledge of English (both spoken and written) is required. Knowledge of German and/or French and/or
-
devices, which might include designing control solutions for REN, BESS, EV charging, and FACTS among others, making and intensive use of communications. You will interact with other research and technology
-
leverage satellite communication, IoT and deep learning technologies in order to provide evidence-based decision support tools in near real time across a variety of thematic domains: disaster risk reduction