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offering solutions to complex problems and creating new possibilities. At La Trobe, our students gain essential skills in programming, data analysis, and machine learning, equipping them to shape the future
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degree classification (20%); Proven experience in programming for Machine Learning in Python (20%); Proven experience in training and testing large language models in high-performance computing
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the field of Artificial Intelligence and experience using machine learning and deep learning development environments and libraries is a plus. As set forth FCT Research Scholarship Regulation No. 950/2019
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above (including Honours and Masters) who are intending to take a full-time course of study in computer science, cyber security, technology, mathematics, computer engineering and/or data science at any
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in student financial aid, customer service, or a relevant field. License/Certification: None. Knowledge Of: Personal computer applications Experience in Banner and Scholarship Enterprise Platform (ex
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/10.54499/2023.11234.PEX , funded by national funds through FCT/MECI, under the following conditions: Scientific Area: Machine Learning applied in Applied to Fluid Dynamics Simulation Admission requirements