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, the product development phase from fish industry waste and the preparation of the feed to be administered to the animals involved in the trials will be monitored. Furthermore, the effects of using
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clinical fellows. Faculty will be encouraged to develop an academic career with a related clinical research or clinical education program. Candidates should apply through Interfolio at: http
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to the Chief Commercial Officer (CCO), the appointee will exercise leadership and management responsibility for HR within the Institute which includes the constituent Centres (current and in development
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intelligence and predictive maintenance (PM). The project involves defining the relevant technological trajectories – i.e. the paths for the development and integration of these technologies in the construction
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systems for Compact Research Infrastructures), whose goal is to develop plasma-acceleration technologies, including high-repetition-rate operation. These compact and cost-effective machines will be used
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Fisheries Fund). This project aims to develop solutions adapted to Caribbean artisanal fisheries to limit the accidental capture of sea turtles through the use of acoustic deterrent systems (ADDs
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de datos Data Science and Natural Language Processing Tasks: - Implementation of services for the disambiguation and linking of vocabularies for data spaces - Development of techniques
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provides experience in experimental methods and exposure to industry workflows supporting preclinical therapeutic development. 📄 Full Call & Requirements: https://drive.google.com/file/d
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE MEDICHE VETERINARIE | Italy | 10 days ago
This project investigates how diabetes-associated systemic inflammation may anticipate or accelerate Alzheimer’s disease progression in Tg2576 mice, which develop APP/Aß accumulation and cognitive decline. Early
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE BIOLOGICHE, GEOLOGICHE E AMBIENTALI | Italy | 10 days ago
land-cover classification under uncertainty. The project develops a robust coregistration workflow for multi-sensor and multi-temporal imagery and implements fuzzy classification methods to generate soft