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for experiments using reinforcement learning, Bayesian methods, image analysis and data analysis. Collaborate with interdisciplinary teams, including machine learning experts, device modelling specialist
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, collaborating with materials and electronics experts. Analyze and model link budgets, modulation schemes, and network coexistence for backscatter-enabled IoT. Participate in multi-partner integration and field
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Doctoral Candidate (PhD student position in biociences) / DC7 - SHIELD Doctoral Network This PhD position is part of the European Doctoral Network “SHIELD” (Strategies for Healing Implant-associated
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of agentic AI systems, agile accelerated computing and next-generation Radio Access Networks (5G/6G), and who have the ability to lead innovative projects and shape new research directions. The successful
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the library of patents of the group. Contact person with collaborators and contribute with international experience to enrich the network of collaborators of the group. Requirements for candidates: Essential
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Description Grant/funding reference: PID2022-137099NB-C42 Job title: COMMUNICATION, CODING AND PROCESSING TECHNOLOGIES FOR NEXT-GENERATION QUANTUM CLASSICAL NETWORKS (MADDIE) Research line: INFORMATION SYSTEMS
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techniques and neural network techniques to adjust high-resolution X-ray spectra and infer physical properties of the emitting plasma. · Developing algorithms that optimise the adjustment of high-resolution X
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collaborative network. Requirements for candidates: Essential: Ph.D. in Biochemistry, Molecular Oncology, Biomedical Engineering, Biomaterials, or related fields. At least 12 years since PhD defense. This date
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person with collaborators and contribute with international experience to enrich the network of collaborators of the group. Requirements for candidates: Essential: Ph.D with postdoctoral experience in
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network layers of communication systems and Geomatics. CTTC received the “HR Excellence in Research” award in 2015 from the European Commission and successfully passed into the Award Renewal phase in 2023