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-quality research publications in econometrics or related fields. You will possess the ability to solve complex statistical problems, show advanced computer literacy with proficiency in relevant software
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at the RMIT Melbourne CBD campus About the Role We are seeking a Postdoctoral Research Fellow to join RMIT’s Materials Modelling and Simulation group to apply classical Molecular Dynamics and Machine Learning
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will include: Provide high quality, efficient administrative support to staff (e.g. exam preparation, e-learning support, course profile publication). Provide client focused, policy based administrative
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or hardware design (e.g. PC interfacing of cameras, scientific instruments, Arduino-based devices) Skills In system prototyping using CAD software (Autodesk Inventor), 3D printing, machined parts, and COTS
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an outstanding environment in which to develop innovative research in mathematical and statistical data science, with opportunities for collaborations with machine learning and bioinformatics researchers in
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demonstrated ability to communicate and interact with a diverse range of stakeholders and students. Demonstrated knowledge in Quasi-Monte Carlo methods and/or finite element analysis and/or machine learning is
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with top rankings in Victoria around student support, social equity, skills and employment, we are driven to make difference to every student and the community providing lifelong learning, skills, and
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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
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postgraduate degrees by using our accelerated learning model. The College offers Diplomas , a Standard Foundation Program and Intensive Program , a UniReady Program , and two Masters Qualifying Programs