92 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD positions in Spain
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Field
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documentation, report writing, and scientific publications associated with the project. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208 Requirements Research FieldEngineering
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analysis of biological samples and DNA, determination of cellular damage biomarkers, statistical analyses, and preparation of reports and scientific articles Where to apply Website https://sede.uvigo.gal
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projects, from engineering studies to the development of entire SW systems, with many years of experience working on programmes with space agencies such as ESA, NASA, CNES, DLR, etc. (https
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call Proyectos de Generación de Conocimiento 2023 by the Spanish Ministry of Science and Innovation at http://www.ibecbarcelona.eu/phd We Offer: Number of available positions: 1 Predoctoral researcher
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analysis, including statistics and machine learning techniques. Proficiency in scientific programming, especially Python and/or Matlab, and experience in shell scripting. Excellent written and oral
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personal investigador predoctoral en formación para el año 2024” Last year call Link (new call is expected in January 2026): https://gestiona3.madrid.org/quadrivium/convocatorias/Home
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Period from 1 to 19 December 2025 full description of the position can be found here: https://sede.usal.es/registro-electronico . Applications must be submitted through the Electronic Registry
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innovative ideas to the project. The ability to mentor graduate students is highly desirable. Where to apply Website https://convocatorias.rrhh.uclm.es/convocatorias.aspx?c=15689 Requirements Research
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of polymer science and a broad appreciation of biological sciences Where to apply Website https://cipf.fundanetsuite.com/ConvocatoriasPropias/en/Convocatorias/VerConvoca… Requirements Research FieldBiological
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. Preliminary exposure to machine/deep learning, statistical modelling or generative AI. Application process: Interested candidates are invited to apply via the PHYNEST online platform by submitting a full CV, a