Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
on the processing and characterisation of recycled polyester, with an emphasis on its spinnability into fibres. You will analyse and interpret the obtained results and report them to the project team. Some of the
-
for Catalysis (KCK), FibRe – Design for Circularity, and the Center for Additive Manufacturing Metals (CAM2 ). These initiatives highlight our broad expertise and close collaboration with industry in, e.g
-
management and customer service. Understand Local Area Networks (LAN), Wide Area Networks (WAN). Understand TCP/IP Stack, NFS, CIFS, Fibre Channel Protocol. Ability to work well in a fast-paced environment
-
, including blended cements. Develop curing-specific DoC prediction models and validate against experimental results. Determine the effect of controlled exposure conditions on the DoC of fibre cement materials
-
optimization and resource allocation schemes and algorithms for link and network optimization with hybrid fibre-FSO-RF communications. You will further augment software defined networking controllers
-
. Optical design and modelling • Translate Mars atmospheric and scientific requirements into technical specifications. • Model the Doppler measurement chain (laser, optics, fibre injection, QMZ, detectors
-
EM sensing. You will design innovative sensing systems and advanced data-processing methods to evaluate cutting-edge materials and structures, including carbon-fibre composites and complex
-
methodology for steel fibre reinforced concrete structures assisted by nonlinear finite element analysis and artificial intelligence tools”, project number 16782, code operation COMPETE2030-FEDER-00796500
-
of fibre cement materials, recycled concrete aggregates and recycled concrete fines, construction blocks and sandwich panels. Identify the main drivers towards fast carbonation of cement-based materials
-
Warning System is the main objective of this position. The frequency domain machine learning applications will be developed by fusing the OptoDAS data that will be collected from the fibre optics cables and