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characterization, and integration of machine learning to correlate synthesis conditions with functional performance. The goal is to establish predictive synthesis strategies for oxygen vacancy control, with
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will carry out predoctoral research and will produce a doctoral thesis that engages with the tasks from the Work Package 2 (Valence asymmetries in linguistic communication and interpretation) and/or Work
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Application Deadline 17 Mar 2025 - 23:59 (Europe/Madrid) Type of Contract To be defined Job Status Part-time Hours Per Week 30 Offer Starting Date 7 Mar 2025 Is the job funded through the EU Research Framework
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on the application form using the equivalence marks link: pagina - Ministerio de Universidades (sede.gob.es) Applicants should indicate in the application form 3 ICN2 groups they would like to work in. After
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differential mobility analysis, electron microscopy, spectroscopic techniques and advanced X-ray diffraction. The PhD student will work in a very collaborative team, funded by an ERC Consolidator Grant. A short
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. The recruit will focus their work on one or more of the following sub-lines of work: low-resolution algorithms, model optimization with HPC techniques, edge computing, quantum computing, energy-efficient
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Biology Lab (Najle Lab), at Universitat Internacional de Catalunya (UIC), investigates the molecular underpinnings of cellular and organismal complexity from functional and evolutionary perspectives. Our
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they would like to work in. After submitting their application, the applicant will receive confirmation of receipt by email. For additional information in the application procedure, please contact hr@icn2.cat
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available in the project's use cases. Investigate the development and application of distributed/federated learning models for their possible application in edge computing (edge intelligence). Investigate
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directly. Important: During your application, you will be requested to indicate the research group(s) you are interested in accomplishing your PhD with. The fellowships are offered as part of the ICFO PhD