Sort by
Refine Your Search
-
surface properties on their energy balance and gas exchange. Experiments will be accompanied by mathematical modelling of the physical processes involved. How will you contribute? In accordance with any
-
requested at some point during the selection process Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should apply by 30
-
operation and analysis. These projects aim to develop a set of cloud-to-edge based tools for enabling intelligent automation of active distribution grids. Do you want to know more about LIST? Check our
-
Pneumatic Tires, Structure-Process-Properties Relationships. As part of it, we are currently looking for a postdoc on machine learning for road characterization. How will you contribute? Do you have proven
-
of two referees, with an indication of their links to the candidate (e.g., supervisor of the PhD thesis) Early application is highly encouraged, as the applications will be processed upon reception
-
processing, signal processing, and network resource management to enhance performance. To optimize and analyze complex 6G networks, we use AI/ML, graph theory, and optimization techniques Furthermore, our
-
. This advancement will enable high-fidelity modeling of complex plasma processes, contributing significantly to fields such as fusion reactor design, material deposition technologies, and space propulsion systems
-
Applications should include: Curriculum Vitae List of publications and manuscripts in preparation (if applicable) Copy of PhD degree certificate, if available Cover letter including: Self-assessment
-
. This advancement will enable high-fidelity modeling of complex plasma processes, contributing significantly to fields such as fusion reactor design, material deposition technologies, and space propulsion systems
-
We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a