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Doctoral position at Department of Electronics and Nanoengineering at Aalto University, in Espoo, Finland. DC2: Sub-terahertz and terahertz reconfigurable intelligent surfaces Main supervisor: Prof
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of reconfigurable and time-varying optical metasurfaces Main supervisor: Prof. Viktar Asadchy[AALTO] Co-supervisors/mentors: Prof. Rockstuhl [KIT] and Prof. Díaz-Rubio [UPV] Objectives To design optical metasurfaces
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intelligent surfaces Main supervisor: Prof. Viktar Asadchy[AALTO] Co-supervisors/mentors: Dr. Victoria Tormo [INDRA] and Dr. Barthès [3DEUS] Objectives To establish an analytical modeling approach
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metasurfaces Main supervisor: Prof. Viktar Asadchy[AALTO] Co-supervisors/mentors: Prof. Rockstuhl [KIT] and Prof. Díaz-Rubio [UPV] Objectives To design optical metasurfaces capable of complex reconfigurable
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Finance Network (NFN). We offer degree education at bachelor's, master's and doctoral levels. For more information, see https://www.aalto.fi/en/department-of-finance . The Department of Finance at Aalto
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the possibility to attain research start-up funding. The primary workplace is located at the Otaniemi Campus in Espoo, Finland. Life on the revitalized campus is vibrant, featuring stunning architecture, tranquil
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
to develop machine learning-enabled approaches for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building
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the lecturer career system will be determined by their qualifications and experience. More information about the lecturer career system at Aalto University can be found here: https://www.aalto.fi/en/teaching-and
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stakeholder engagement and communication. The primary workplace is Aalto University’s Otaniemi Campus, with an in-person presence on the campus, due to the need for specialised software for processing
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building cutting edge machine learning techniques