Sort by
Refine Your Search
-
translate into concrete health outcomes. The BRANCH project wants to change that. By combining conceptual work on green space typologies, advanced geospatial analytics, AI-based image analysis, citizen
-
young versus older adults using EEG. Analyses will focus on Event-Related Potentials, time-frequency analysis and functional connectivity measures within a cognitive-motor dual task paradigm. To enhance
-
the next-generation regional climate model ICON‑CLM to run convection‑permitting simulations (≈2.2 km) over Equatorial East Africa. By transitioning to kilometer-scale modeling, this research overcomes
-
information on its udder health and metabolic and nutritional status. In this project, an optical sensor prototype will be designed and built based on miniature spectrometers with the aim to measure milk
-
, purification and reconstitution Targeted mutagenesis and protein structure analysis Biochemical characterization of ATPase and phosphorylation activity Cellular imaging/staining (fluorescence and electron
-
) recordings, based on machine learning and signal processing methods. The work involves machine learning for image processing, processing and decoding of EEG signals, and EEG data collection. - You should
-
31 Jan 2026 Job Information Organisation/Company KU LEUVEN Department Cardiovascular Sciences - Imaging Research Field Medical sciences » Medicine Researcher Profile First Stage Researcher (R1
-
and Images (PSI), within the research group EAVISE. The project explores processing audio under motion. For stationary sound source and receiver conditions, audio processing has seen strong advances in
-
the program, including admission requirements and placement records, can be found at https://feb.kuleuven.be/ research/PhD/businesseconomics/Business The Department of Accounting, Finance & Insurance
-
Website https://www.kuleuven.be/personeel/jobsite/jobs/60654829?hl=en Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent LanguagesENGLISHLevelBasic Research FieldComputer