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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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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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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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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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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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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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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
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and laser scanning and maintains related infrastructure. We wish to recruit an ambitious scientist with original ideas who can contribute to ground-breaking research and teaching in the field
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scientist with original ideas who can contribute to ground-breaking research and teaching in the field of photogrammetry and laser scanning. We welcome candidates pursuing diverse and innovative research