Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
(ESHPM) General Management Directorate (ABD) University Library (UB) Convergence Human Resources (HR) Finance (FIN) Education and Student Affairs (E&S) Erasmus Digitalisation and Information Services (EDIS
-
of humans and simulated agents. By systematically manipulating the social conditions (cooperation vs. competition, solo vs. group foraging) and landscapes (poor vs. rich resource availability, clustered vs
-
months or 0.8 FTE for 45 months; access to computational resources (HPC), GIS/data infrastructure, and datasets via collaborative networks; a supportive, interdisciplinary research environment within
-
position of 1.0 FTE for 30 months or 0.8 FTE for 37 months; access to computational resources (HPC), GIS/data infrastructure, and datasets via collaborative networks; a supportive, interdisciplinary research
-
analysing functional and/or structural MRI data. You have hands-on experience in analysing behavioural data on language acquisition, ideally word learning, and/or on human memory consolidation. You have
-
towards a future-proof logistics system with a special focus on machine learning-based collaborative scheduling, resource sharing, and self-organisation. The EngD position corresponds to a 2-year post
-
Grant and coordinated by the Principal Investigator (PI), Dr Federico Pianzola. This is an interdisciplinary project at the intersection of NLP, Digital Humanities, and Semantic Web technology. Millions
-
interfacing technologies, musculoskeletal models and personalized rehabilitation interventions. Your core tasks will include: Performing human measurements involving HD-EMG acquisition from lower-limb muscles
-
automatic tracking of muscle fascicle kinematics. You will be developing a proof of concept of the real-time control of a bionic ankle-foot based on online ultrasound sensing of the ankle muscle fascicle
-
encourage you to apply. The opening: Wearable robotic exoskeletons are transforming the future of rehabilitation, but interfacing them with the human neuromuscular system remains a challenge, especially in