11 linked-data "https:" "https:" "https:" Postdoctoral positions at Chalmers University of Technology
-
, monitoring and inspections open up new possibilities, but also new challenges. In this context, the project will address challenges in linking collected data to current status, future deterioration and
-
regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
-
industry links and diverse environment create a collaborative setting where ideas grow into real impact. At the division of Data Science and AI , we develop data-driven methods and AI solutions that support
-
mainly be connected to DRIVE PR, but may also be linked to related projects within data-driven product realisation, digital engineering, systems engineering, geometry assurance, automation, or model-based
-
department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research, strong industry links and diverse environment create a collaborative
-
the breadth of computing disciplines. Our internationally visible research, strong industry links and diverse environment create a collaborative setting where ideas grow into real impact. At the division
-
develop the data-driven foresight methods to find out. About us At the Division of Physical Resource Theory, we study how societies can transition towards sustainability. Building on physics and systems
-
University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research, strong industry links and diverse environment create a collaborative setting where ideas grow
-
department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research, strong industry links and diverse environment create a collaborative
-
planning. The project combines agent-based modelling, large-scale mobility data, transport networks, generative modelling, resilience indicators, and equity analysis. A central goal of this recruitment is to