Sort by
Refine Your Search
-
renewable energy generation.KU Leuven leads Modelling and Optimization, which focuses on: Developing hybrid models combining first-principle and machine learning approaches. Creating predictive frameworks
-
on discovery of next-generation immunotherapy for kidney cancer through different state-of-the-art approaches integrating multi-omics and translational immunology. You must hold a MD or MSc/Masters’ degree in
-
military performance, presenteeism, and may even lead to costly evacuations during deployments. This PhD project builds upon pioneering research at MHQA and aims to implement and evaluate allergy screening
-
off-the-shelf sensors and the development of resilient algorithms that combine first-principles modeling with modern machine learning techniques. The goal is to push the boundaries of robust perception
-
you to apply. The opportunity to work on a challenging and advanced research topic, in a dynamic academic environment, to acquire research and project management skills, to network with leading
-
» Science communication Computer science » Other Engineering » Design engineering Technology » Computer technology Technology » Future technology Arts » Visual arts Computer science » Informatics Researcher
-
knowledge of Microsoft Word, Excel and PowerPoint. You have experience in, or are willing to learn MATLAB. You hold the FELASA B certificate, or international equivalent or you are willing to follow a
-
diverse, international, and multidisciplinary research team • Opportunities to collaborate with scholars of different levels and with communities in six countries • We also offer a supportive learning
-
international workshops and conferences, presenting and discussing your research globally. Teach and contribute: Provide support for teaching activities and teaching innovation. Build up and apply skills: Build
-
neuromorphic ultra-low-power active sensor readout and processing at the edge. The chip design will enable online learning capabilities, aiming at modulating the spatio-temporal filtering properties with