49 algorithm-development-"Multiple"-"Prof" positions at Chalmers University of Technology
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
and responsible development of the maritime industry. We address the multiple pressures that ships pose on the ocean and try to bridge the gap towards environmental management and marine spatial
-
to include shipping pressures and impacts in marine environmental management and spatial planning. Research environment Our research aims at supporting sustainable development of the maritime shipping sector
-
Are you interested in developing computational tools to understand the detailed mechanical behaviour of multi-phase materials? Then this PhD position at Chalmers University of Technology might be
-
pioneering research on rethinking space and municipal planning processes conducted in co-creation and a transdisciplinary setting spanning architecture, urban development, human geography, ecology, and economy
-
developing digital and quantitative tools for analysing the built environment. This role provides a unique opportunity to make a meaningful impact on Sustainable Development while honing expertise in a
-
of surface sites makes theoretical understanding difficult. This project will develop and benchmark machine learning models to predict local electronic density of states (DOS) at alloy catalytic sites
-
industry, academia, and government agencies. Our mission is to promote and integrate the life cycle perspective into all decision-making processes. We enable skills development and knowledge sharing among
-
with GKN Aerospace Sweden with partial work there and combines numerical and experimental research. Project overview The purpose of this project is to contribute to the development of an ultra-efficient
-
-making processes. We enable skills development and knowledge sharing among our partners and host a unique network of companies, academia, research institutes, and public authorities. By fostering
-
research position. The project assistant will apply their biomedical and AI knowledge to conduct a feasibility study developing AI tools to predict properties of lipid formulations for drug delivery