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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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-language models, large language models, reinforcement learning, ROS/ROS2, CUDA, NVIDIA Jetson, or Linux would be useful but is not essential. Candidates with a strong machine-learning background who
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-language models, generative models, self-supervised learning, reinforcement learning, OpenCV, ROS/ROS2, or Linux would be useful but is not essential. Knowledge of facial behaviour analysis, human pose
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