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. Skills Terms programming; R; Python; Statistical methods; machine learning; differential expression; bulk RNAseq; scRNAseq; Linux/unix; spatial transcriptomics URLs/references https://ramialison
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students on research exchanges to Guangzhou, China. Required knowledge Familiarity with Python, and passion for research Project funding Other Funding reference https://www.monash.edu.my/student-services
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++ programming and knowledge Python programming Funding reference https://www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/monash-graduate-scholarship-mgs Learn more about minimum entry requirements .
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++ programming and knowledge Python programming Funding reference https://www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/monash-graduate-scholarship-mgs Learn more about minimum entry requirements .
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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computer programming background who has an interest in ecology and biodiversity conservation, or an ecologist with computational modelling experience (e.g., using R, Python, Matlab). Project funding
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. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated reasoning and robotics C/C++ programming and knowledge Python
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. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated reasoning and robotics C/C++ programming and knowledge Python
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reasoning and optimisation technology Understanding of the operation modern machine learning (ML) models C/C++ programming and knowledge of efficient data structures Python programming Familiarity
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reasoning and optimisation technology Understanding of the operation modern machine learning (ML) models C/C++ programming and knowledge of efficient data structures Python programming Familiarity