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. The successful candidate will be joining the Nanophotonics Theory group led by Prof. Dr. Javier Garcia de Abajo. We aim to design waveguides integrated within a planar geometry, incorporating efficient in- and
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: 101201412), led by Prof. Carme Gallart. The successful candidates will work at the IAC's headquarters in La Laguna (Tenerife) in a stimulating research environment. They will join the “Galaxy Evolution in
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work with Prof. Jordi Cirera Fernandez in the use of electronic structure methods to study the electronic structure of these systems and its potential integration in nanoscale memory devices
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your work at national and international workshops and conferences. The project will be carried out jointly at the Bionanoplasmonics laboratory of CIC biomaGUNE under the supervision of Prof. Luis M. Liz
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. The successful candidate will be joining the Optoelectronics group led by Prof. Dr. Valerio Pruneri. The successful candidate will be responsible for the development of quantum communication devices, systems and
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Infrastructure? No Offer Description Offer description A post-doctoral position is available in the group Nanoarchitectonics on Surfaces, led by Prof. David Écija, at IMDEA Nanociencia. The group is dedicated
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. The successful candidate will be joining the Quantum Photonics group led by Prof. Hugues de Riedmatten. The group has experience in quantum technologies for quantum networks, including quantum memories, quantum
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. The successful candidate will be joining the Quantum Photonics with Solids and Atoms group led by Prof. Dr. Hugues de Riedmatten. The group has experience in quantum technologies for quantum networks, including
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. The successful candidate will be joining the Organic Nanostructured Photovoltaics group led by Prof. Dr. Jordi Martorell to undertake research in the characterization of thin film solar cells based on organic
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Infrastructure? No Offer Description Research line: Learning in single cells through dynamical internal representations. Job description: Develop theory, models and algorithms for identifying molecular encodings