111 computer "https:" "https:" "https:" positions at Chalmers University of Technology
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, biomedicine, and sensing. Our research spans carbon-based materials/devices, bioelectronic microsystems, unconventional computing, liquid crystals and nanomaterials for applications such as thermal management
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analytical and mathematical skills, including proficiency in quantitative modeling, data analysis, and scientific computing (e.g., R, Python). Strong written and verbal communication skills in English. *for
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reliable system data for cybersecurity monitoring and forensic analysis. About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans
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19 Mar 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Computational chemistry Computer science » Other Physics » Acoustics Physics » Applied
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naturally. To this end, we combine theoretical, methodological and computational techniques, often in close collaboration with local and international experimental groups. About the research project Organic
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, including within the master’s programme Systems, Control and Mechatronics. About the research project Without accurate knowledge of the limiting conditions, Li-ion batteries are charged slowly yet still
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an internationally unique infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and artificial intelligence applied
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) of 120 credits or a Master’s degree (magisterexamen) of 60 credits* in chemical engineering, mechanical engineering, applied mathematics, or a closely related field. Strong background in computational
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communication skills in English Experience in the area of antenna systems and their applications in biomedicine/biology Knowledge of computational electromagnetics with practical experiences with electromagnetics
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combines metabolomics, microbiome science and computational modelling to develop new food intake biomarkers and to understand individual metabolic responses to diet and develop personalized nutrition