Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Vacancies PhD position on the design and fabrication of MEMS drag force-based flow and fluid composition sensors Key takeaways In this project, we will combine well-known thermal flow sensing
-
. Evaluation of current practices and feasible structural health monitoring technologies. Cost–benefit assessment of sensor deployment and measurement interpretation strategies. This is a multifaceted project at
-
deliveries). You will build a prototype algorithm that can be used by infrastructure and civil engineering professionals to better evaluate cable and pipeline location data. Your tasks will include: 1
-
potential to benefit from the increasing availability of (big) data in the transportation domain. A wide range of sensors, part of mobile phones, vehicles, and Internet of Things devices, generate data
-
bioprinting, tissue culture, microfluidics, sensors and microscopy. In addition to this high-end equipment, the facility will develop unique wavefront shaping microscopes for imaging inside the complex culture
-
-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning algorithms that maximize the information extracted from
-
algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image/video segmentation, object tracking, reinforcement learning. Deep
-
control algorithms lies a physics-based simulation model, whose accuracy largely determines the effectiveness of the control loop. Position 3 – High-fidelity simulation of the LAFP process Current