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Field
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for Rubisco characterization participate in mentoring PhD and MSc students within the project Responsibilities The postdoc will be expected to: take a leading role in scientific publications contribute
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well as on the physics analysis of the GW data. Required skills and evaluation criteria The successful candidate is expected to have: Physics PHD Internationally recognized experience on research using the LIGO-Virgo data
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the development and assessment of neurotechnology aimed for invasive brain-computer interfaces. In particular, the work will include in vitro assessment of the performance of electrophysiology neural
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expertise in machine learning or computational modelling who are eager to advance conceptual innovation toward practical industrial deployment. Qualifications PhD in Computer Science, Machine Learning
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well as on the physics analysis of the GW data. Required skills and evaluation criteria The successful candidate is expected to have: PhD Physics Internationally recognized experience on research using the LIGO-Virgo data
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multidisciplinary teams (bioprocess engineering, omics analysis, modelling). Supervise and support PhD students and laboratory technicians. Where to apply Website https://eurecat.talentclue.com/en/node/123629429
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26 Feb 2026 Job Information Organisation/Company Universidad de Murcia Research Field Computer science Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 11
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. Applicants should have a PhD in Physics or related topics by the start of the contract. For further information, please contact: Diego Blas (dblas@ifae.es). Sending applications implies the candidate’s consent
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or equivalent Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Education: • Undergraduate in Physics, Chemistry, Materials Science, or related disciplines. • PhD in Physics, Materials
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mandatory) skills Protein expression (bacterial and mammalian) and purification (affinity, size-exclusion, AKTA-assisted purification) Experience with mRNA sequencing and data analysis Live imaging