33 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at Monash University
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skilled researcher who brings: A PhD in Computational Neuroscience, Physics, Engineering, Computer Science, Psychology, or a related discipline Strong quantitative and programming skills (preferably MATLAB
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. Build and sustain long-term quantum computing and simulation capabilities at Monash University. About You You will bring: PhD in Computer Science, Electrical Engineering, Maths, or Physics Expertise in
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, virtual screening, molecular docking, structure-activity relationship analysis, and machine learning. Candidates should embrace opportunities to tackle new problems and challenges as part of a dynamic team
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independently and as part of an interdisciplinary and cross-cultural team, possess excellent organisational and communication skills, and work collegially with other staff. Advanced computer skills, including
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will conduct independent and collaborative research, publish in high-impact journals, and present findings at major international conferences and workshops. You will also mentor and support PhD and
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking a highly skilled Research Fellow with a strong understanding of radar radio frequency (RF) systems
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closely with academic staff and provide guidance and support to junior researchers and students involved in the project. Ideally you will have a PhD in Economics of Education or expect to receive it by
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of Chemistry is looking for a Post Doctoral Research Fellow to join in an exciting project Parameterisation of voltammetry in a machine learning environment. The project involves working with a multidisciplinary
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, developing a survey and conducting a quantitative analysis. To be successful in this role, you should have a degree and a PhD in Psychology or a closely related field. You should also possess strong training
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computer skills with experience using Microsoft Word, Excel and PowerPoint; and specific experience in working with a range of data management/analytical software. Prior experience, knowledge and expertise