63 parallel-processing-bioinformatics-"the" positions at Chalmers University of Technology
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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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Product Development Material Production - and in the interaction between these areas. The research focuses on the development of the industrial process, from need to finished product while creating added
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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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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality
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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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For questions, 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
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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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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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foundations in all activities at Chalmers. Application procedure The application should be attached as PDF files, as below: CV (max 1 page) Motivation letter (max 1 page) Please use the button at the bottom