10 programming-"Multiple"-"U"-"Prof"-"FEMTO-ST-institute" positions at La Trobe University in Australia
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. Demonstrated experience in program/event management and development, and ability to manage multiple projects concurrently. Proven ability to work effectively within a team environment, and with minimal
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the Online Education Design team, and ensuring continuous improvement and accountability in online short course programs. Skills and Experience To be considered for this position, the successful candidate will
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, gender, sexuality and relationships. ARCSHS is home to the largest program of LGBTQ health and wellbeing research and knowledge translation in Australia, with expertise in family, domestic and sexual
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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
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management practices related to international student mobility, including travel safety, insurance, and institutional policies. Strong organisational skills with the ability to manage multiple programs
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Ability to be responsible for program/system development and implementation. Ability to develop innovative methodologies or take a leading role in the application of proven techniques involving considerable
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. Experience in program/system development and implementation. Ability to develop innovative methodologies or take a leading role in applying proven techniques. Demonstrated ability to manage multiple
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development, strategic builds, journey mapping, and campaign strategic direction across multiple channels, working collaboratively with teams across campaigns, paid media, web and digital team. Key
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple