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. Experience in writing scientific texts Proficiency in Python programming Proficiency in collaborative tolos Experience in bibliographic databases Specific Requirements PhD degree in Physics Research experience
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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) Positions PhD Positions Application Deadline 20 Mar 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Mar 2026 Is the job
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part of the Beyond the Standard Model and Astroparticle Physics and Cosmology groups of IFAE (https://www.ifae.es/groups/theory/ ). The staff members of the group are D. Blas, E. Masso, A. Pomarol, O
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Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria=50410 Requirements Research FieldPharmacological sciencesEducation LevelPhD or equivalent Skills/Qualifications Graduate in Pharmacy
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................................................................................ Up to 20 points PhD in Physical Sciences ..................................................................... Up to 12 points Master’s Degree in Physics
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scientists by offering high-quality educational programs to master, PhD students and postdoctoral researchers (full details in https://iciq.org/careers/ ). Short Project description: This project aims
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(depending on the time elapsed since the PhD defense) Entitlements and other benefits: https://www.bcbl.eu/en/join-us/what-is-like-to-work-bcbl Training opportunities and Career development plan: Researchers
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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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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