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the Optoelectronics group led by Prof. Dr. Valerio Pruneri, renowned for cutting-edge work in advanced materials and photonic systems for next-generation communication, imaging, and cybersecurity technologies
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by the Optoelectronics group, led by Prof. Dr. Valerio Pruneri, which focuses on the development of next-generation photonic systems, with strong emphasis on innovation, application-driven research
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. This position will be dedicated full time to the European Chips JU Pilot Line project PIXEurope directed by Prof. Dr. Valerio Pruneri. This contract has received funding from the European Union’s Horizon Europe
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environment. The successful candidate will be joining the Optoelectronics group led by Prof. Dr. Valerio Pruneri. The group has experience in the study and development of new advanced materials, devices and
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environment. The successful candidate will be joining the Optoelectronics group led by Prof. Dr. Valerio Pruneri. The group has experience in the study and development of new advanced materials, devices and
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environment. The successful candidate will be joining the Quantum Nano-Optoelectronics group led by Prof. Dr. Frank Koppens. The groups is at the forefront of researching the fundamental science and potential
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this short-term project we will use active learning to accelerate the training of deep learning algorithm to optimize 2D material Van der Waals structure discovery. Main Tasks and responsibilities: The person
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interviewees will be required to give a presentation to the panel. Further information will be provided along with the invitation to interview. Contact us ： Institute Executive: Prof Yuehai Ke (yke@zju.edu.cn
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environment. The successful candidate will be joining the Optoelectronics group led by Prof. Dr. Valerio Pruneri to focus on FPGA development to implement practical protocols oriented toward the space segment
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Synchrotron developing correlative (S)TEM in-situ experiments on catalysts, from SACs to multiple types of nanostructures. This position is linked to the AMADE PID2023 project funded by AEI / MCIN, led by Prof