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- Institute of Photonic Sciences
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- ICFO - The Institute of Photonic Sciences
- UNIVERSIDAD POLITECNICA DE MADRID
- Consejo Superior de Investigaciones Científicas
- DIPC - Donostia International Physics Center
- Fundació per a la Universitat Oberta de Catalunya
- Institut Català de Nanociència i Nanotecnologia
- Josep Carreras Leukaemia Research Institute (IJC)
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- Universitat Politècnica de València
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Responsibilities: The selected candidate will be expected to: Develop and optimize fabrication techniques for optical waveguiding in glass (e.g. IOX waveguides, laser written waveguides) and glass micro structuring
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today. Their convergence has the potential to redefine how we simulate, optimize, and understand complex physical systems. Integrating AI into quantum computers and simulators can help overcome current
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filing, continuation, and abandonment, providing structured recommendations to the Head of KTT in coordination with the relevant Innovation Managers. Optimize resource allocation by identifying non
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description KEY RESPONSIBILITIES - Take a central role in the planning, construction and daily experimental
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to define and optimize test structures, contribute to Test Design Kits (TDKs), and implement Process Control Modules (PCM). Analyze and validate PIC performance, prepare structured testing reports, and
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will apply advanced electron microscopy techniques, including STEM to investigate the structure and behaviour of catalytic nanomaterials critical for green hydrogen and energy technologies. The candidate
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to verify the operation of the algorithm. Optimize the memory usage of the algorithm and provide a memory consumption report. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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of the corresponding manufacturing processes. The selected candidate will be responsible for: Leading the formulation development of the solid diagnostic product. Designing and optimizing the manufacturing process
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structure. Process the required input data. Define the expected results and technical requirements for their implementation. Create AI-based models to optimize distribution, reduce operational costs and
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will develop novel ligands for a validated drug target in acute myeloid leukemia. Building on our promising preliminary results, you will optimize and expand the hit discovery using computer-aided tools