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Field
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(bio)sensing. o Knowledge and use of electrochemical techniques. o Any of the following techniques necessary for the use/characterization of (bio)sensor devices: spectrophotometry
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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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. This position will report to Prof. Dr. Valerio Pruneri, Director of the European Chips JU Pilot Line PIXEurope. PIXEurope is co-funded by the Chips Joint Undertaking and national funding authorities
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databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and temporal data. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo
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from data from a multimodal sensor. Merging data from multimodal sensors located in different spatial positions: calibration and synchronization. Transforming fused data: sensor fusion and feature fusion
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-sensor monitoring (temperature, humidity and acoustics) and predictive modeling (AI) of the properties of the mixtures (both poured and 3D printed concrete). The mission is to optimize curing processes
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PIXEurope directed by Prof. Dr. Valerio Pruneri within the ICFO’s Project Financial Control team. This contract will be co-funded by the Chips JU through the European Union’s Digital Europe and Horizon Europe
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2026 Annex: Available positions Reference: CEX2024-FPI-2025-7 Supervisor: Prof. J. R. Galán-Mascarós Co-supervisor: Prof. Katherine Villa Gómez Title: Magnetically-Enhanced Photocatalysis for Selective
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or background: Background in biosensors, preferably with demonstrated experience in photonic sensors. Experience in surface chemistry and sensor functionalization, especially for silicon-based surfaces
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. The successful candidate will be joining the Quantum Optics Theory group led by Prof. Dr. Maciej Lewenstein. The successful candidate will work on Machine Learning research. Share this opening! Use the following