Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
alerts, facilitating optimized maintenance decisions and reducing unplanned downtimes. The framework will be validated through close collaboration with industry partners, incorporating actual operational
-
optimization and enable automated diagnosis of performance-limiting factors and suggest optimization strategies. The project will be part of the DFF Sapere Aude project, and research stays abroad are part of
-
, 3, 12, 13): DC2: Infection biomarker discovery in chronic wound models DC3: Infection biomarker monitoring in environmental samples DC12: Optimizing bioreceptor function in interaction with graphene
-
at DTU within the BUG-ID network (DCs 2, 3, 12, 13): DC2: Infection biomarker discovery in chronic wound models DC3: Infection biomarker monitoring in environmental samples DC12: Optimizing bioreceptor
-
developed to allow operators to visualize real-time risk indicators, maintenance sched-ules, and preventive repair alerts, facilitating optimized maintenance decisions and reducing unplanned downtimes
-
facilities. You will be responsible for designing and conducting experiments to assess environmental (e.g. temperature and oxygen) tolerances and identify optimal conditions for the species, ideally working
-
), state estimation (e.g. Kalman filtering, pose graph optimization), or collaborative positioning is highly valued. Mathematical skills: Competence in mathematical modeling of dynamic systems and
-
sensor integration. Experience with SLAM algorithms (vision-, acoustic-, or inertial-based), state estimation (e.g. Kalman filtering, pose graph optimization), or collaborative positioning is highly valued
-
, current methods are either static, rely on heavy offline training, or fail to adapt to changing environments. This PhD project will develop intelligent software agents capable of autonomously optimizing
-
typically done by manually adjusting control gains through trial and error - a time-consuming process that is increasingly unreliable as grid conditions shift from minute to minute. This PhD project will