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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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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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the sustainability performance of the built environment. Job description We are looking for three student assistants to support the PhD project Measuring to Manage: A Methodological Framework for Quantifying Plastic
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, you must hold a PhD (awarded no more than three years prior to the application deadline*) in computer science, maritime transportation, or a related field, with a strong foundation in mathematics and
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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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facilities that are highly aligned with the goals of the project. Who we are looking for We seek candidates with the following qualifications: To qualify for the position of postdoc, you must have a PhD degree
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to develop solutions with real world relevance and impact. This project will be carried out in close collaboration with researchers from the Division of Material and Computational Mechanics at IMS and the
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September 29 For questions, please contact: Anders Södergren, director of PhD studies, Email: andesod@chalmers.se Tel:+46-317723066 Hjalmar Rosengren, head of unit Email: hjalmar@chalmers.se Tel:+46-317725358
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of a unique and collaborative research environment in micro- and nanotechnology, housing over 250 researchers and PhD students. The main research activities at the terahertz and millimetre wave
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degree in Biomedical Science, Bioengineering, Life Sciences, or a related field, and demonstrated expertise in artificial intelligence and data science. Job description This is a full-time, three-month