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Field
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Models LanguagesENGLISHLevelExcellent Research FieldComputer science » Computer architectureTechnology » Computer technologyEngineering » Electronic engineeringYears of Research Experience1 - 4 Additional
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of offers available1Company/InstituteDepartment of Computer Architecture (DAC)CountrySpainState/ProvinceBarcelonaCityBarcelonaPostal Code08034StreetJordi Girona, 1-3Geofield Contact State/Province Barcelona
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science » Computer systems Medical sciences » Other Physics » Optics Architecture » Other Researcher Profile Leading Researcher (R4) Positions PhD Positions Country Spain Application Deadline 21 Jan 2026 - 23:59
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following criteria: PhD in Computer Engineering, Computer Science, Electrical Engineering, or a closely related field Demonstrated research excellence, evidenced by peer-reviewed publications Expertise in
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) Positions PhD Positions Application Deadline 11 Feb 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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. Language skills. D. Computer application skills. E. Training in working with experimental animals (B, C, D). F. Specific knowledge of molecular mechanisms of disease, particularly neurodegeneration. G
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of Robotics and Industrial Informatics (CSIC-UPC) offer a position to work on World Models for Human Behaviour Anticipation https://ramonllull-aira.eu/archivos/theme_field/world-models-for-human-behaviour
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performance with classical methods. Qualifications PhD in Physics, Computer Science, Applied Mathematics, or related fields. Strong background in at least one of the following: machine learning, quantum
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 2 months ago
time. Optimization of resource use in greenhouse environments using digital twins. Active participation in a multidisciplinary and innovative environment. Requirements Degree in Computer Engineering or
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degree in Engineering or a PhD) • Extensive knowledge of Computational Fluid Mechanics (typically a Master’s degree in Engineering or a PhD) • Experience with supercomputing clusters and queueing systems