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Field
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) participate in the monitoring at sea to acquire video and picture of the transplanted sites, (2) quantitatively analyse video to define species and functional diversity, species abundances and population size
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Researcher (R2) Positions PhD Positions Application Deadline 2 Mar 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Other Type of Contract Extra Information Linked to project grant Job Status Full
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to the topic, including food safety, microbiology, computational biology, machine learning, artificial intelligence, data science, or other related scientific fields. Familiarity with data-driven
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infrastructure (e.g. Observatorio del Roque de los Muchachos) Hands-on training in cutting-edge techniques, from detector R&D to advanced data analysis and machine learning. Attendance to international
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=50415 Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Advanced skills in Machine Learning and Artificial Intelligence Proficiency in spoken and written English
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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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programming You have experience with modeling, statistical analysis and/or machine learning Experience with DNA- or RNA-sequencing data analysis is a plus Education and training You hold a PhD degree in
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and astroparticle physics. The members of the group are D. Blas, E. Masso, A. Pomarol, O. Pujolas, M. Quiros, F. Rompineve, E.Salvioni and A. Wulzer. Applicants should have a PhD degree in Physics by
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learning and the use of robust statistics. This work is naturally extended to studying physics prospects for the next generation of detectors. IFAE is supported by its own PIC computing center, a Tier1 LHC
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Requirements: Essential: PhD in Economics, Finance, or a closely related field, obtained or expected within six months of the application deadline. Strong background in applied microeconometrics and quantitative