Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Description When the future of their child is threatened, many parents increase the protection of their child, aiming to shield them from looming menace. Yet some parents respond differently. These parents not
-
the FlexLab AI Innovation Lab, a collaboration between Radboud University, Alliander, Stedin, the Netherlands Organisation for Applied Scientific Research (TNO), Eindhoven University of Technology (TU/e), HAN
-
addressed is: What are the synergies and trade-offs among different SMR and yield-enhancing practices at farm and landscape levels under current and future climate scenarios? By integrating literature, remote
-
. You'll be part of the Tactile Machines Lab, which is a dynamic, interdisciplinary group of researcher bringing together expertise in robotics, sensing, machine learning, biomechanics, and haptics
-
at the University of Amsterdam and will lead the development of advanced computational data analysis methodologies. Your primary goal is to connect different levels of the degradation pathway to the parent molecule
-
and implement novel computational strategies that combine physics-based modeling, optimization techniques, and machine learning approaches to improve cryo-ET image processing workflows. This includes
-
industrial partners. Our group offers an open and collaborative environment in which we focus on hands-on learning and personal growth of all group members. We are looking for excited and talented candidates
-
online learning platform with 100+ different courses; 7 weeks birth leave (partner leave) with 100% salary; partly paid parental leave; the possibility to set up a workplace at home; a pension at ABP for
-
team at AMOLF, working on fundamental questions on physical self-learning systems as part of the NWO ENW‑M1 project “How do physical learning systems learn?”. The research position is intended to start
-
algorithms to shape the liveable cities of tomorrow? Job description Human-centred AI techniques, such as Reinforcement Learning from Human Feedback (RLHF), hold great potential for supporting design