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will investigate how AI and real-time data analytics can be leveraged to accurately predict battery degradation, optimize charging and discharging cycles, and facilitate dynamic energy scheduling in
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or interest in AI/ML, data analytics, digital twins, or cyber-physical systems Good programming skills (e.g., Python, C++, or similar) Ability to work independently and as part of an international research team
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17 Jan 2026 Job Information Organisation/Company Tallinn University of Technology Research Field Computer science » Other Engineering » Industrial engineering Engineering » Mechanical engineering
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17 Jan 2026 Job Information Organisation/Company Tallinn University of Technology Research Field Biological sciences » Other Chemistry » Biochemistry Environmental science » Earth science
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2 Jan 2026 Job Information Organisation/Company Tallinn University of Technology Department School of Engineering, Department of Civil Engineering and Architecture Research Field Engineering » Civil
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8 Jan 2026 Job Information Organisation/Company Tallinn University of Technology Department School of Engineering, Department of Electrical Power Engineering and Mechatronics Research Field
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8 Jan 2026 Job Information Organisation/Company Tallinn University of Technology Department school of Science, Department of Cybernetics Research Field Mathematics Physics Environmental science
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8 Jan 2026 Job Information Organisation/Company Tallinn University of Technology Department school of Science, Department of Cybernetics Research Field Mathematics Mathematics » Statistics Physics
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8 Jan 2026 Job Information Organisation/Company Tallinn University of Technology Department school of Science, Department of Cybernetics Research Field Engineering Mathematics Physics Environmental