Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Stipend/Integrated Stipend in representation, compression
-
compressed workweek or a flex workday schedule. Flexible work arrangements are not permanent, are subject to change or discontinuation, and contingent on the employee receiving approval in the FlexWork@RU
-
PhD Stipend/Integrated Stipend in representation, compression, learning, and inference for classical and quantum data. At the Technical Faculty of IT and Design, Department of Computer Science, one
-
or the applicable provisions of relevant collective negotiations agreements, this position requires a fully on-site work arrangement and may be eligible for a compressed workweek or a flex workday schedule. Flexible
-
job functions include receipt and delivery of freight, merchandise and packages; inventory, accounting for and movement of compressed gas cylinders and research alcohol throughout UCLA campus, research
-
implementations for compression, heterogeneous quantization, etc - reproduce state of the art network parameters with extreme quantization and compression of parameters - design and implement next-generation
-
characterization of plant fibers by using a robot with a small tip that can compress the plant fibers one by one. These works demonstrated the capability to efficiently generate experimental tests but, we now want
-
); - Experience with data balancing techniques; - Desirable basic knowledge of Multiple Input, Multiple Output (MIMO), Fluid Antenna System (FAS), and Compressive Sensing (CS); - PhD degree obtained within the last
-
experimental data by microfluidic osmotic compression, SAXS, DLS, micro-rheology and FRAP measurements. Where to apply E-mail yannick.hallez@utoulouse.fr Requirements Research FieldPhysics » Computational
-
mechanisms. The project will combine experimental studies with advanced signal processing and AI techniques (compressed sensing), aiming to detect early signs of failure and enable predictive maintenance