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to apply. Experience with data handling softwares (e.g., R, SAS, Python, Unix Shell) and genetic softwares (e.g., DMU, F90, AIREML). Background in working with Livestock data is an advantage. Can speak and
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software development experience, and intimate knowledge of machine learning frameworks (such as PyTorch and Transformers) are advantageous. Publications in top ML/NLP venues such as NeurIPS, ICLR, ICML, ACL
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of quantum field theory, mathematical aspects of string theory, general mathematical physics or quantum algorithms and quantum software development. We stress that candidates with an excellent research track
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software development experience, and intimate knowledge of machine learning frameworks (such as PyTorch and Transformers) are advantageous. Publications in top ML/NLP venues such as NeurIPS, ICLR, ICML, ACL
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, number theory, mathematical aspects of quantum field theory, mathematical aspects of string theory, general mathematical physics or quantum algorithms and quantum software development. We stress