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this the selection criteria. Selection process The planned selection process is as follows: Those interested must access the website where the university publishes all the offers: https://talenthub.upc.edu/en/jobs/psr
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | about 1 month ago
research activities in the field of signal processing, artificial intelligence and optimization of electrochemical systems for hydrogen production. The activity focuses on the development and validation
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-based simulations of multicellular tissues in 3D. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-pdi-postdo… Requirements Research FieldPhysics » Computational
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or equivalent Skills/Qualifications Candidates should have a Ph.D. degree in electromagnetics, ideally in the field of reverberation chambers, with important skills in signal processing, instrumentation, antennas
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of the selection process will be reported on the website where the offer is published. If applicable, indicate your request. Finally, the name of the person selected will be published on the same website where
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, MR, genetic correlation) - Managing of genetic datasets Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria=50402 Requirements Research FieldOtherEducation LevelMaster Degree
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an international selection procedure for the recruitment of two (2) Research Technicians to carry out research activities, under a fixed-term employment contract of uncertain duration, for an expected period of 12
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to work with veterans and military-connected students to enrich the Center of Excellence for Veteran Student Success. To serve as a single point of contact to coordinate comprehensive support services
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processing breast milk (0.5 points/month worked, maximum 1 point) -Experience in molecular biology techniques (RNA/DNA extraction, PCR, fluorescence microscopy) (0.25 points/month worked, maximum 0.5) Specific
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or clinical engagement. These findings point to a broader issue: digital health innovations are only as equitable as the social, organisational, and relational systems that support them. This ESRC-funded