86 web-programmer-developer-"https:"-"UCL"-"U"-"P"-"St" "https:" "https:" "https:" "https:" "https:" positions at La Trobe University in Australia
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industry is considered a key to success in solving some of the research, development and deployment challenges under various theme areas. Find out more: https://ra-latrobe.iitk.ac.in/ Applications
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experience required for this position. Welcome to Bundoora campus – Please click on the video link below: https://f.io/KDo0ceng Benefits: 17% employer contributed superannuation On site child care facilities
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stakeholders to guide local partnerships and initiatives that contribute to broader University objectives. La Trobe plays a leading role in contributing to regional economic development, particularly through
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will work without the need for close supervision and is expected to develop curriculum, coordinate subjects, teach and support students as they learn. In addition, a teaching focussed academic will
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interpersonal skills, including the ability to develop excellent working relationships with, colleagues, students, and other stakeholders.8 Welcome Video - Victorian Regional campuses – See link below; https
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Background La Trobe's Regional Benefits Program empowers high achieving students from regional communities to live, study and thrive in regional Victoria. This program is available to students
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. Please refer to the Position Description for other duties, skills and experience required for this position. Welcome Video - Victorian Regional campuses – See link below; https://www.youtube.com/watch?v=w
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position You will be responsible for the management and effective delivery of human research ethics services and support across La Trobe University. This includes developing, implementing and reviewing
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future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models