32 machine-learning-"https:"-"https:"-"https:"-"Simons-Foundation" positions at La Trobe University
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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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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
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Full time Fixed term until 31/12/28 Campus Independent Salary HEO7 starting at $103,171 plus 17% superannuation About the position The Learning Support Coordinator- Subject Support Program (SSP) is
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components. The resulting data will be used to train a machine learning (ML) model, enabling automated and efficient beamline alignment. This technology has the potential to significantly enhance
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possibilities. At La Trobe, you’ll gain essential skills in programming, machine learning and data analysis, preparing you to lead innovation in areas such as digital healthcare, smart manufacturing, sustainable
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the world. Ideal applicants will have a solid background in AI, machine learning, control theory or quantitative finance. Applicants with advanced programming skills (Python/C++); and a desire to publish in
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by the LTA. Skills and Experience To be considered for this position, candidates must possess advanced computer literacy, particularly in the use of relational databases such as Blackbaud CRM, and
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Learning (SoTL) at La Trobe University by sharing best practices, and coordinating and teaching subjects to deliver engaging, high-quality learning experiences across diverse formats. Responsibilities also
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Level A teaching focused position will support high-quality teaching and learning within the Discipline of Orthoptics. With guidance from subject coordinators, this position delivers high-quality teaching
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activity that enhances learning and teaching within the discipline or professional field. You will be expected to demonstrate high-quality teaching in line with La Trobe’s Teaching Excellence Principles