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aims to accelerate materials development through digital methodologies, combining robotic automation of experimental tasks with artificial intelligence to optimize processes and establish composition
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, optimize, and document acquisition protocols for reproducibility and scalability; stay updated with the latest developments in microscopy automation and scientific instrumentation. Requirements: · Education
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Predoctoral researcher at the Targeted Therapeutics & Nanodevices Research Group (Project BRAINZYME)
, precise transport, controlled release, and therapeutic activity. • Characterize and optimize these biotherapeutics in vitro by assessing their structure, functionality, and stability under storage and
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the contract, they must enroll for the current year in the UPV's doctoral programme for which they have been accepted (if they are not yet enrolled) and submit a copy of the proof of enrolment before executing
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candidate§ Dedication: Full time Additional contribution:6.860€◊ ‡If the doctoral degree is obtained before the predoctoral fellowship ends, a Postdoctoral Orientation Period (POP) can be funded from the time
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particular group leader and their research project. Official transcripts of BSc and MSc studies in PDF format. A scanned copy of the certified academic record of the studies granting access to the PhD
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applying for observational time, analysing the observations, and aligning the results to numerical simulations of star formation. The candidate is expected to have experience with Gaia data and good
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researcher). PLACE OF PUBLICATION OF RESULTS: Official bulletin board of the UDC online services site. Additional comments General required documentation: 1. Copy of national identity document or passport 2
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changes underlying adaptation. Particular emphasis will be placed on studying the role of copy number variations in driving adaptation to nutrient scarcity. Specific Tasks Experimental evolution
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learnINg for LArge scaLe InTerconnected sYstems) focused on "Fairness in flow allocation: an optimal transport approach". The FINALITY DN advances the theoretical computer science curriculum focusing