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demand innovative methods to collect valuable information from battery cells in operando in a non-destructive way. To address this problem, the selected candidate will perform research at the intersection
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Python programming. ● Experience in monitoring code performance. ● 3 or more years of demonstrable experience in machine learning theory. ● Excellent communication and teamwork skills. ● Proficiency in
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Requirements Knowledge: Physics and fundamentals of quantum computing. Programming quantum algorithms or their operation. Professional Experience: In small group leadership and collaborative article writing
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Mission: Develop a monitoring and control system for an ammonia dehydrogenation plant. Functions to be developed: Perform plant modeling. Design an optimal control system. Design estimation algorithms
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the fellowship application. Candidates performing or having completed the medical specialization (Formació Sanitària Especialitzada, FSE) accessing to a PhD program will not be eligible. Candidates must have
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, or any other characteristic. The selected candidate will benefit from access to state-of-the-art high-performance computing facilities, active international collaborations, and dedicated support for
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work as part of an international team and she/he is expected to actively participate and lead part of this project. The tasks to be performed will include: Synthesis of nanopaticles, modification and
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, optical, and anti-corrosion performance. Our investigations span nanoparticles, nanowires, lithographically patterned micro- and nano-objects, mesoporous and nanoporous structures, electrodeposited thin