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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE BIOLOGICHE, GEOLOGICHE E AMBIENTALI | Italy | 13 days ago
Description This project enhances Earth observation data cubes by improving two key processes: image coregistration and fuzzy classification. Accurate data cubes require precise spatial alignment and reliable
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Scintillators for Advanced Detectors applications in the Imaging and Particle Identification fields” Where to apply Website https://reclutamento.dsi.infn.it Requirements Research FieldEngineering » Materials
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The main objective of the research project is to design and build a prototype
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decision-making across diverse applications in computer vision and data analysis. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional
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" sheet, used in the northwestern Sicilian coast overlooking the Strait of Sicily. The selected candidate will be responsible for: • processing and interpretation, including the construction of thematic
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: EUROPE Eligibility of fellows: nationality/ies: EUROPE Selection process evaluation of presented titles and interview on the subjects specified by the notice Website for additional job details https
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The main objective of the research project is to design and build a prototype
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an open, transparent, merit-based, impartial, and equitable procedure, tailored to each individual DC position. Website for additional job details https://realise-dn.eu Work Location(s) Number of offers
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Synthetic Data: A Solution to Medical Imaging Limitations Where
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: https://kaunasin.lt/en/live-in-kaunas/ Application Process Applications must be submitted electronically by e-mail. Deadline: 30 January 2026, 16:00 CET E-mail: talent.pool@lsmu.lt Subject line: My First