133 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at Chalmers University of Technology
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– forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14530&rmlang=UK
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considered the official date of completion. Exceptions to the three-year eligibility limit may be made for documented circumstances such as parental leave, sick leave, or military service. The following
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to references will be requested after the interview. We welcome your application no later than January 31, 2026 For questions please contact: Annika Lang https://www.math.chalmers.se/~langa/ Irina Pettersson
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and mixed-signal design, and thus broaden and strengthen our expertise in the design of electronic systems. You will also develop and teach courses in electronics design at the bachelor and master
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and machine learning, we collaborate globally to monitor environmental change and support a sustainable future. About the research project The postdoc will work at Chalmers University of Technology in a
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researchers develop new machine learning (ML) methods to tackle challenging molecular engineering problems in life sciences and materials design. Situated in the Data Science and AI division , our group
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Experience in machine learning Knowledge of SDN and NFV Knowledge of basic TCP/IP protocols What you will do Conduct high-impact research and publish in leading journals and conferences Shape research
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– forward. Where to apply Website https://academicpositions.com/ad/chalmers-university-of-technology/2025/postdoc… Requirements Research FieldEngineeringYears of Research Experience4 - 10 Research
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, sick leave or military service. What you will do Perform analyses using mass spectrometry techniques such as TOF-SIMS Correlate mass spectrometry data with SEM and TEM results Work with data evaluation
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: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14520&rmlang=UK