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for converged Wireless-opTical cOnfiguratioNs”. The research will cover three key pillars: Artificial-Intelligence (AI)-driven models in the access domain, focusing on CF technology to efficiently acquire Channel
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, or programming. The selected candidate will join the undergraduate teaching team and may teach introductory and advanced courses such as: Programming I (Python) Programming II (C or other low-level languages) Data
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letters of recommendation (submitted by the referees no later than the application deadline) Learn more about the BCBL’s OTM-R policy Additional comments Application process timetable: Deadline
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This doctoral position is part of GRAIL (“Gamma Radiation from the Atmosphere for Investigation and Learning”), a prestigious Horizon Europe Marie Skłodowska-Curie Actions Doctoral Network (MSCA-DN): https
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PhD student position on development of innovative bifunctional oxygen electrodes for SOC technology.
on the development and testing of oxygen electrodes for SOC technology - A person who is highly motivated to learn, work in a team, showing high flexibility and initiative and ability to innovate. - Bachelor and
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characterize new reticular materials (COFs), and use them as precursor for the generation of new polymers via Clip-off chemistry. The candidate will acquire a great experience in supramolecular, reticular and
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, spectropolarimetric inversion techniques, and machine-learning–based approaches, for the physical interpretation of solar images and spectral profiles. Special consideration will be given to applicants with experience
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(ICS). A scientific environment of excellence, highly dynamic, where high-end biomedical projects are continuously developed. Continuous learning and a wide range of responsibilities within a stimulating
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biofoundries, fostering sustainable industrial biotechnology across the bioeconomy sectors. The lab combines synthetic biology, machine learning, and biosensor and pathway dynamic regulation design to produce
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. Pablo Carbonell, creates innovative solutions for automated biofoundries, fostering sustainable industrial biotechnology across the bioeconomy sectors. The lab combines synthetic biology, machine learning