Sort by
Refine Your Search
-
independently. The workplace The Division of Automatic Control is successfully conducting research as well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks
-
to understand the effect of symmetric data on the training of neural networks. This will be the overarching goal of the post doc. The problem can be approached from many different angles. We are mainly interested
-
projects. Expert supervisors and mentors from DTU and Novo Nordisk. Opportunities to participate in conferences, symposia, and networking events to share and enhance your research. Your role will be pivotal
-
that will provide high-level requests to be executed. The autonomy concepts must consider the availability of different types of sensors (optical, lidar, inertial measurement unit, etc.), the criticality
-
structures for immersion boiling enhancement. In addition, we will be deploying physics informed neural network modeling to predict the electrothermal behavior or high power rf devices. Anticipated
-
months, which can be extended twice taking into account the maximum period of 36 months. In deviation the above, an EEA national, who has previously received a postdoctoral grant in the 12 months prior