56 high-performance-quantum-computing-"https:" "https:" positions at Linköping University
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electrophysiology and fluorescence-based techniques, and screening of potential modulatory compounds. The project involves collaborations with computational research groups and integrates both manual and automated
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, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on methods that reduce compute, energy
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competitive advantage (https://liu.se/en/research/cbmi ). You will work under the supervision of Professors Christian Kowalkowski and Daniel Kindström. Research at IEI spans a broad range of areas, from
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research at LiU: https://liu.se/en/research/cybersecurity The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each
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focus on goals and results. You demonstrate strong pedagogical skills and tailor your communication to suit the audience. You are meticulous, quality-conscious, and committed to meeting high standards
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is an established supplier of software for automated dose planning. You will write and submit research articles to peer-reviewed high-quality international journals, and also present your research
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6 Mar 2026 Job Information Organisation/Company Linköping University Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 24 Apr 2026 - 12:00 (UTC
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and expertise are required: PhD in a relevant area e.g. with bioinformatics, computer science or similar At least five years’ experience of working in a research environment with bioinformatics
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application! We are looking for a research engineer within the Division of Statistics and Machine Learning (STIMA) at the Department of Computer and Information Science. In this position, you will have the
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. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning - constitute fundamental scientific domains that act as