Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
Infrastructure? No Offer Description KU Leuven seeks a highly motivated PhD candidate for a fully funded international doctoral position within the Marie Sklodowska-Curie Doctoral Networks (MSCA-DN) project TURBO
-
production sites. The project will advance control strategies and optimize the design of the nuclear-based steam plant and its supporting systems to ensure safe, reliable, and cost-effective steam
-
investigates a radically new paradigm for Embedded AI: enabling devices to dynamically compress and adapt neural networks directly on-device after deployment. Inspired by how humans continuously optimize
-
more sustainably. While business processes are traditionally optimized for efficiency, cost, and quality, organizations are now expected to actively manage their environmental footprint and social impact
-
. This intervention constitutes optimal timing and a comprehensive design to achieve its intended goals, i.e., improved functional recovery post-TJA and general health, and decreased socio-economic burden
-
within university laboratories, teaching farms, and cooperative networks, solutions remain locally grounded and institutionally anchored. Collaboration between universities, cooperatives, industry, and
-
of the produced powders and films: SEM/EDS, TEM, XRD, ICP-OES, EBSD, etc. Correlate material morphology and composition with final TE material and device performance. Develop TE devices optimized for both energy
-
validation. This position offers a unique opportunity to contribute to cutting-edge research in viral vector bioprocessing while working within a highly collaborative international network at the forefront
-
optimally combined to deliver models with extremely constrained compute and memory footprints without compromising performance. This includes training spiking neural networks with multiple plasticities