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the capabilities and efficiencies of physical agents, ranging from service robots, self-driving cars, and heavy machines. What We Offer: A rich research environment equipped with cutting-edge robot platforms
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. The experimental data obtained from Mckenna burner, optical spray and combustion chamber, and optical engine will provide valuable benchmarks for validating Computational Fluid Dynamics (CFD) models of high-pressure
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of Finland Research Fellow (RCF) project led by Dr. Adolfo O. Fumega. The PhD researcher will work on functional quantum materials based on multiferroic heterostructures, with a focus on multiferroic
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to you in order to be able to do systems identification and model process dynamics using traditional and advanced tools such as machine learning. Your role and goals You will work in collaboration with
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and Professor of Practice Jouni Punkki. Job description Research activities will involve computational methods relying on physics-based continuum models to assess the mechanical, thermal, and acoustical
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Department of Civil Engineering and XAMK (University of Applied Sciences) in Savonlinna. The candidate may be based either in Espoo or Savonlinna. If based in Espoo, periodic travel to Savonlinna is expected
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of an AI assistance system for fieldworkers, with a focus on large language model-based solutions for context-aware instruction generation. Your network and team The mobile cloud computing group
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technical capabilities into a compelling commercial product. Your Key Responsibilities: System-Level Analysis: Develop a comprehensive understanding of the entire process, modeling the dynamic relationship
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’. Interview-based assessment of policy impacts The researcher will conduct interviews with key stakeholders in selected countries. These include policy makers and cloud industry professionals. The goal is to
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We are looking for exceptional scientists with the following experience and skills: PhD and more than 2.5 years of postdoc experience in the field cQED including Quantum-mechanical model of microwave