Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
and meet the qualifications, we encourage you to apply and become a part of this transformative research journey. Duties and key responsibilities As a postdoc in PolyKinetics, you will: Investigate
-
curious and motivated postdoc with a PhD in biomedical engineering, physics, materials science, organic chemistry—or similar—and a drive to explore new frontiers in science. 👉 Learn more and apply here
-
experience with interdisciplinary research networks, and a record of successfully attracting external funding for interdisciplinary research projects. To be able to use computationally intensive methods
-
experience with interdisciplinary research networks, and a record of successfully attracting external funding for interdisciplinary research projects. To be able to use computationally intensive methods
-
Conventions on Climate Change (UNFCCC) and Biodiversity (CBD). You also need to be available to attend these meetings as needed. As postdoc, you will principally carry out research. A certain amount of teaching
-
for Environmentally NeutrAl Industrialization”, involving both academic and industrial partner. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a
-
monitoring. These applications rely on remote sensors to capture PCs and wirelessly transmit them to edge servers for downstream tasks, such as registration, i.e., aligning multiple PCs within the same 3D
-
postdocs (2 years each) research/consumables funding Work assignments As an Assistant Professor, you are expected to conduct and lead pioneering research that combines fundamental and applied aspects of soft
-
systems, complex networks, data-driven modeling, machine learning, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the
-
successfully conducting research as well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor