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- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Institut de Físiques d'Altes Energies (IFAE)
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- Institut Català de Nanociència i Nanotecnologia
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Field
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the eligibility criteria stated in the job offer will be 10 points. Threshold: 5 points. The maximum score (10 points) will be distributed as follows: 1 point for required speciality. 2 points for required academic
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: The maximum score for the candidates who accomplish all the eligibility criteria stated in the job offer will be 10 points. Threshold: 5 points. The maximum score (10 points) will be distributed as follows: 1
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points) will be distributed as follows: 1 point for required speciality. 2 points for required academic training. 2 points for technic competences. 1 point for organisational competences. 3 points
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. Threshold: 5 points. The maximum score (10 points) will be distributed as follows: 1 point for required speciality. 2 points for required academic training. 2 points for technic competences. 1 point
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for the digital ecosystem. - Innovation in digital creation, production, marketing, and distribution. - Digital and media literacy. - Inclusion and representation in communication: gender, age, and diversity
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criteria stated in the job offer will be 10 points. Threshold: 5 points. The maximum score (10 points) will be distributed as follows: 1 point for required speciality. 2 points for required academic training
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FieldAstronomyEducation LevelPhD or equivalent Skills/Qualifications Good knowledge of - The300 sims - Disperse application on density field distributions (2D & 3D) - galaxy clusters and cosmology - SZ and X ray cluster
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for integrating and interpreting data generated within digitally enabled postharvest systems, including distributed and near-real-time data streams. Investigate the potential role of data-driven and artificial
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anticipation. Unlike static distributions, these models should represent the spatiotemporal transition functions of human states—predicting how a person will move or interact with objects(/persons) based
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center fully integrated into the LIGO/Virgo distributed computing network. IFAE is in a privileged position to analyze the LIGO/Virgo/KAGRA data and, in collaboration with IFAE’s teams in CTA/MAGIC and