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. The candidate must be able to implement custom training loops, handle complex data pipelines, and modify model architectures. Software Engineering: Strong Python programming skills, including
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for applicants to also have: Honours/Masters degree in either Engineering, Computer Science or IT related fields. Experience in Deep Learning, Computer Vision, and Python programming Interest in
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any other requirements. Desirable skills: Experience in programming (C, python, or similar). Knowledge in machine learning or distributed systems. How to apply Apply for this scholarship at the same
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modelling, programming (MATLAB, Python, or similar), and a solid understanding of composite material behaviour are essential, with additional interest in design optimisation, advanced manufacturing, and
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. At La Trobe, our students gain essential skills in programming, data analysis, and machine learning, equipping them to shape the future of technology. As AI continues to evolve, so will the strong
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journal or equivalent discipline-appropriate output. Demonstrated aptitude for quantitative research, including a solid foundation in econometrics, mathematics, and statistics. Practical programming skills
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component that helps clinicians understand why an AI output is considered safe, unsafe, uncertain, privacy-risky, or potentially manipulated. Required knowledge Essential Strong programming skills in
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(would be a plus if good at math and basic cryptography); Programming skills in Python (would be a plus if familiar with C++, ML/FL frameworks). Benefits of PhD students: Receive world-class
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component that helps clinicians understand why an AI output is considered safe, unsafe, uncertain, privacy-risky, or potentially manipulated. Required knowledge Essential Strong programming skills in
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Boltzmann method microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and