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production in the context of circular economy. The research activities in this doctoral thesis are planned with the view of developing a comprehensive multi-perspectives analysis approach, essential to track
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. The composition affects the power of the jet and the presence or lack of hadrons is a crucial ingredient in modelling the multi-wavelength and multi-messenger emission of these jets. If the jets are hadronic
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time whenever necessary. Component Design Guidance: Provide analysis or empirical driven recommendations for the design and optimization of our core components. This may include modeling heat exchanger
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spoken and written Finnish and have high proficiency in English. The emphasis of the post is on teaching, but the work also includes a research element. Experience in teaching statistics and business
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computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and interactive prototypes for scenario
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, engine technology or piston–liner tribology Programming, and data analysis skills (Python / Matlab), measurement programming skills (e.g. Labview, Dewesoft) Interest in experimental research, prototyping
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, enabling comprehensive simulation and analysis of quantum control strategies. Olav Tirkkonen will supervise the project at Aalto University, and Ülo Parts will act as thesis advisor. The ideal candidate
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large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences
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cleanroom fabrication techniques Proficiency with photonic simulation tools (PhotonDesign, Lumerical, COMSOL, or similar) Experience with optical characterization techniques (spectrum analysis, power
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two-dimensional materials by gate-tunable scanning tunneling microscopy (STM). Typical examples of these materials include van der Waals monolayers of transition metal dichalcogenide superconductors