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18 May 2024 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Chemistry » Other Physics » Other Researcher Profile Recognised Researcher (R2) Country Sweden
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the intersection of network dynamics, learning, and control, and aims at addressing theoretical challenges within networked cyber-physical-human systems (cphs). These systems are characterized by humans in
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3 May 2024 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Astronomy » Astrophysics Physics » Quantum mechanics Physics » Other Researcher Profile First Stage
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Engineering » Other Physics » Solid state physics Physics » Other Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 12 Jun 2024 - 21:59 (UTC) Type of Contract Temporary Job
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engineering Engineering » Other Physics » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 30 May 2024 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours
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Engineering » Other Physics » Biophysics Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 17 Jun 2024 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per
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Engineering The project is in collaboration with a Swedish company for state-of-the-art statistical signal processing and machine learning based design and analysis of dynamical process and time-series. We will
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30 Apr 2024 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Biological sciences » Other Physics » Biophysics Researcher Profile Recognised Researcher (R2
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Doctoral student in development of novel catalysts for hydrogen fuelled alkaline membrane fuel cells
3 May 2024 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Chemistry » Physical chemistry Chemistry » Other Engineering » Chemical engineering Researcher
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-renowned team on an interdisciplinary project to advance machine learning models for tackling complex traffic problems. We are pioneers in traffic estimation using physics-informed machine learning and we