41 computer-science-data-warehouse Postdoctoral positions at Chalmers University of Technology
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will be run in the Division of Computer Networks and Systems within the Department of Computer Science and Engineering . Within the Division we have four faculty members, four postdocs and eleven PhD
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of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing
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redefine the landscape of computing. Join our fantastic team of researchers and engineers in the beautiful and vibrant city of Gothenburg, on the Swedish west coast. Information about the project Your work
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the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing Group within the Quantum Technology Laboratory (QTL) at the Microtechnology and
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6 Feb 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Biological sciences » Biology Biological sciences » Biological engineering Technology » Biotechnology
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Are you interested in developing materials for next-generation batteries using recycled resources? We are looking for a postdoctoral researcher with a background in inorganic chemistry to contribute
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-constrained models. Currently, we are advancing the development of single-cell models, machine learning approaches based on cultivation data, and the integration of metabolic models with computational fluid
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1 Mar 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Economics » Food economics Technology » Biotechnology Researcher Profile Recognised Researcher (R2
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innovative computational methods for interfacing nanodroplets with catalytic particles. This work aims to enable the conversion of methane and nitrous oxide—potent greenhouse gases—into benign and value-added
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Swedish automotive industry stakholders, we will perform computational modeling of perceived safety and comfort zone boundaries based on in-project data collection from drivers. The modeling will be both