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aimed at building a high-performance quantum computer based on superconducting circuits. Our team includes a dynamic mix of PhD students, postdocs, and senior researchers working collaboratively
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of electrochemical reaction kinetics. The position is intended to run in parallel with master level studies at a Swedish higher education institutions and is part of the Chalmers Nano Area of Advances , including
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Doctoral student in Materials Chemistry of Doped Organic Semiconductors in EU Training Network FADOS
is to achieve targeted modification of semiconductor properties through doping. The goal of the project is to develop fundamental understanding and innovative fabrication processes to solve urgent
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Specialist in integrated photonics, you will: Provide technical and methodological support by developing and implementing new experimental methods and processes, while maintaining and improving cleanroom and
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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
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methodological support by developing and implementing new experimental methods and processes, while maintaining and improving cleanroom and laboratory facilities relevant to integrated photonics. Train and support
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about doctoral studies at Chalmers here . Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the
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, please contact Shuang Wang Email: shuangwa@chalmers.se Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with
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), analyse their structure from the ensemble to single molecule level, and apply our findings to design new lipid nanoparticles to study, diagnose, and treat a range of diseases. We place particular focus
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and written. Solid skills in computer programming (Python / Matlab). Experience with CAD and CAE tools. Knowledge of computational fluid dynamics (CFD). Knowledge of finite element method (FEM