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The MQO and QNOF teams combine advanced quantum optics methods in both discrete and continuous variables with cutting-edge solid-state systems aimed at pushing the limits of fundamental research and
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models for gases to solid particles Experimental characterization of fuel particles using FTIR Mathematical model formulation and programming Model implementation in Fire Dynamics Simulator CFD code
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innovations. If you see yourself wondering what is and what isn't sustainable, please apply and join us. We are working with hard-science evidence to help speed up the development of solutions that can mitigate
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(Electrical Engineering, Electronics, Robotics, Applied Physics or related field) and have a solid background in at least one of the following areas: Electronics (including hardware design, sensor integration
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to the application process, please contact Katariina Pehkonen, [email protected] . Want to know more about us and your future colleagues? You can watch these videos: This is Aalto University; Aalto
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preprocessing, feature representation, uncertainty quantification and model validation. Investigating latent-variable, deep-learning and Bayesian approaches for learning informative health-state representations