Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
project will develop novel methods for modelling and controlling large gossamer satellites (LGSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. The candidate will
-
impact on functionalities and user control over financial and payment data. The candidate will perform the following tasks: Carry out interdisciplinary research in digital identity (wallets) and digital
-
impact on functionalities and user control over financial and payment data. The candidate will perform the following tasks: Carry out interdisciplinary research in digital identity (wallets) and digital
-
impact on functionalities and user control over financial and payment data. The candidate will perform the following tasks: Carry out interdisciplinary research in digital identity (wallets) and digital
-
methods (using STATA), such as multilevel modelling approaches, developing and applying inverse probability weights or other approaches (eg multiple imputation etc) as appropriate. 2. Lead the development
-
phenomena across scales, combining multiple fields including physics, mathematics, astronomy, history & philosophy of science, and social science. Its approach to societal engagement throughout the project’s
-
providing quality control or process optimization for electron microscopy in an industrial environment. Experience bringing electron microscopy to industrial application. Experience leading projects
-
these institutional arrangements influence public space outcomes such as accessibility, safety, social value, and sustainability. Key questions include: How can governance structures better coordinate the multiple
-
electronic converters are required to connect renewable energy sources and energy storage systems to the power network. These converters employ sophisticated control algorithms that must simultaneously achieve
-
civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description