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experience in signal analysis and deep machine learning. Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2026/004432 Requirements Research FieldComputer scienceEducation LevelBachelor
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about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 6 yrs Required License/Registration/Certification Certified Maintenance and Reliability Professional
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demonstrated track record in protein structure modelling methods, with hands‑on experience in protein or biologics design and engineering. Hands‑on experience with common machine learning / deep learning
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physical models (including dispersion forces, magnetic effects, and ligand–solvent interactions), and train modern deep-learning methods to create smooth and reliable energy landscapes. A key goal is predict
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to contribute to the development of innovative machine learning solutions using deep learning and multimodal foundation models. Working closely with leading researchers, you will design, develop, and implement
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microelectronics, system engineering, digital supply chain, marine automation systems or advanced manufacturing. Experience with online and blended learning methodologies. Where to apply Website https
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deep learning, on the topic “Analysis and Reconstruction of Digital Data Fragments”. This internship is intended for students at M2 level, or in the final year of an engineering school, interested in a
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Package Location: Kensington NSW (Hybrid Flexible Working) Why your role matters The Head of Student Learning provides strategic and operational leadership for UNSW’s Student Learning services within
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machine learning and deep learning methods will be developed and applied within interdisciplinary research networks. The professorship should also contribute to the generation and supervision
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, development, and support of enterprise-grade integrations across Oracle Fusion ERP Cloud platforms and third-party systems. The ideal candidate will have deep expertise in Oracle Integration Cloud (OIC), SOA