51 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" positions at Chalmers University of Technology in Sweden
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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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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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, 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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simulations to experiments in subatomic physics. The Plasma Theory group within the Division conducts research on acceleration and radiation generation in magnetic fusion, laser-produced and astrophysical
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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
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all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research
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research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division
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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