20 senior-lecturer-distributed-computing Postdoctoral positions at Chalmers University of Technology
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in computer science, mathematics, statistics, bioinformatics, or equivalent. The candidate should have previous experience in bacterial genomics, machine learning/artificial intelligence, preferably
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activities, which also include responsibility for the master's programme in Naval Architecture and Ocean Engineering and contributions to the education of seafarers. Your profile To qualify for this position
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This postdoc project aims to address a critical challenge in quantum computing: errors in superconducting qubits caused by cosmic radiation, which cannot be corrected using existing methods
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, computational materials science, computer science, or a related field, awarded no more than three years prior to the application deadline*. Background in physics-based battery modelling and/or machine learning is
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Sahlgrenska, we are working to advance AI-based decision-making systems, specifically designed for medical use. Information about the division and the department The Department of Computer Science and
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We are seeking two postdocs to collaborate on developing a near-quantum-limited microwave amplifier for readout in superconducting quantum computers. One position will focus on nanofabrication
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candidate low-dimensional magnetoelectrics; (b) evaluation of their magnetoelectric properties using density functional theory (DFT) and related computational methods; and (c) advancing theories of novel
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Are you passionate about sustainable biotechnology and ready to tackle one of today’s biggest environmental challenges? Join our dynamic and interdisciplinary team at Chalmers University of Technology to pioneer the next generation of biorefineries using marine and terrestrial biomass. This...
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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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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