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studies; Apply for competitive external funding (e.g., RGC grants) to support a sustainable research agenda; Teach assigned undergraduate or postgraduate courses each semester on communication theory
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and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
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English, written and spoken. Independence in learning and working, with documented research productivity. Priority will be given to candidates who have co-authored at least one scientific publication
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expertise in bioelectronics or software simulations, or a strong willingness to acquire it, alongside solid knowledge of electrochemistry and materials chemistry Candidates should be eager to collaborate
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PhD student position on development of innovative bifunctional oxygen electrodes for SOC technology.
letter and bachelor/master transcripts to irecjobs@irec.cat , mtorrell@irec.cat (Marc Torrell) and atarancon@irec.cat (Albert Tarancón) with the name on the subject 2026/45. Where to apply E-mail
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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
team resilience. PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record Our goal: You will contribute to the E-PLUS project (Epic and interprofessional
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, the candidate will help the team on the following tasks and research areas : - improve integration of the framework with learning/inference framework (PyTorch, Keras, AIDGE, ...) - improve implementations of low
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the domain of Professional Training & Development & Lifelong Learning at O2L, we are looking for a PhD candidate with an interest in adult education and lifelong learning. Specifically, you will contribute
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Factory and the IIM Seminar Room. The Schumpeter Laboratory for Innovation offers state-of-the-art technologies in physical and digital prototyping. The LEAD Factory is a flexible and Learning- and Model
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Bayesian optimization and other active learning techniques to guide experimental efforts by identifying optimal chemical compositions and processing conditions of membranes that maximize both selectivity and