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, the selected researchers will deal with: Research & Development: Designing, developing, and implementing state-of-the-art machine vision and deep learning algorithms to analyze complex image and sensor data
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at hosting institution: Alessandro Fortunelli) Goal: acquire experience on specific force fields and ML potential. Use MD to describe ligands conformational flexibility. Acquire practice with resemblance and
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secondments at world-class institutions. The proposed research will be on the intersection of the following topics: Energy Harvesting and Intermittent Computing Batteryless Networking Machine Learning
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multiple-output) for high data rate and reliability, integrates semantic and goal-oriented communication, and leverages physics-informed machine learning. A key innovation will be the development
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submitted through this link: forms.gle/Zcx7ghfAQweL2UoG9 Interested candidates should send an application containing the following documents in English (and, when necessary, a certified translation of
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about biomedical research or cell biology? Ready to make groundbreaking contributions to understanding ciliopathies through innovative machine learning approaches? Join the Cilia-AI consortium, and embark
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duties and responsibilities. Where to apply E-mail reunatech@rwth-aachen.de Requirements Research FieldEngineering » Civil engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications MSc
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with the application (Annex A), the candidate must also send, as separate PDF documents: A form representing the declarations in lieu of certification (Annex B), to be signed with a digital signature or, for those who
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and the data analyses of mass spectrometry data. Attending a total of six months secondments to learn novel algorithms form improving fecal MP samples' taxonomic and functional characterization
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Parchi e la Biodiversità - Romagna (Italy) for 1 month to learn about forest management for biodiversity conservation in regional park. We are looking for a candidate with a master's degree in