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on machine learning and networks, release the code in open access and actively participate in the international interpretability community. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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de Barcelona. https://www.ub.edu/escoladoctorat/en/access-and-admission/access-pathwa… ; Specific Requirements Experience in global optimization and machine learning interatomic potentials would be
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quantitative field. Good scientific programming skills, particularly in Python, are required. Experience with atmospheric dynamics, numerical modelling, machine learning, or large meteorological datasets would
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the description and dissemination of results through the preparation of scientific papers and their presentation at scientific meetings. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578
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Network ReDiLEEP (https://redileep.eu/ ). ReDiLEEP brings together leading universities, research institutes, and non-academic partners across Europe and beyond to advance response diversity research and
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, scientific conferences and other scientific events. Contribute to the preparation of scientific manuscripts and research publications. Where to apply Website https://jobs.vhir.org/jobs/8357465-predoctoral
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function. Strong organizational and communication skills. Ability to work both independently and collaboratively. Motivation to learn new experimental approaches and progressively develop an independent
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(internationality, intersectoriality, and interdisciplinarity), and the experience of the proposing supervisors. Where to apply Website https://careers.carrerasresearch.org/jobs/8361127-vac_77_2026-carreraspathfinde
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machine learning for audio and acoustics - Research in experimental techniques in acoustic -- - Investigación en procesamiento de señales y aprendizaje automático aplicados al audio y la acústica
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the settings they were trained on — rather than relying on predefined dictionaries or fixed lists of known threats. Where to apply Website https://networks.imdea.org/job/ph-d-student-position-in-data-driven