26 agent-based-modeling Postdoctoral research jobs at Chalmers University of Technology
Sort by
Refine Your Search
-
We are looking for a highly motivated candidate who wants to be at the forefront of research and develop materials and methods for a sustainable future based on renewable materials. This postdoc
-
In this position you will be a leading member of an exciting research group in AI-based software engineering. You will conduct original research, co-supervise doctoral students, teach, and
-
graphene-based field effect transistor sensors with biological receptors for infection biomarkers, and optimize this technology for diagnosing infections in the wound settings. As a postdoctoral researcher
-
for self-deployable 6G networks in the edge continuum (EC-DEPLOY-6G) pioneers the use of large language model–driven agents to autonomously configure and deploy 6G and cloud functions. The project leverages
-
standards. About the research project The postdoctoral project will focus on precision tests of low-energy strong interactions via the ab initio modeling of open-shell, nuclear many-body systems and Bayesian
-
community, focussing on model battery systems, current collector materials, and simplified electrolytes. We will establish a lab-based NAP-XPS at Chalmers in 2026 featuring in-situ/operando battery
-
, biomedicine, and sensing. Our research spans carbon-based materials/devices, bioelectronic microsystems, liquid crystals and nanomaterials for applications in such as thermal management, neural interfaces
-
-based peptides with the use of generative AI, and test them for kinase inhibition and prevention of biofilm formation in several relevant bacterial pathogens. Your work tasks as a postdoc will include
-
University of Technology , where you will develop explainable AI models for personalized treatment planning in sports medicine and orthopaedics. You will work in a highly interdisciplinary environment
-
Are you passionate about pushing the boundaries of medical research? Join us at Chalmers University of Technology to explore how advanced models can transform the way we study treatments. We