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, watermarking, source tracing, and generative AI. Good programming skills, preferably including Python and modern machine learning tools. Basic knowledge of deep learning, signal processing, speech/audio
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including Python and deep learning frameworks. Interest in one or more of the following areas: speech synthesis, music generation, neural audio codecs, diffusion models, audio language models, watermarking
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administrative languages such as Python, Perl, Java Script, and shell scripts. Collaborate with team members on the design, implementation, and support of standardized automation systems. Lead projects with team
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. Specific requirements include demonstrated experience in integrated circuit testing, Python programming experience, and experience with TCL or Bash scripting. Specific Requirements -at least 3 years of
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teams. Experience with genetic or genomic data, large-scale analysis, AI/ML, R or Python would be highly regarded. If you are excited by the opportunity to combine data, technology and science to address
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and cloud computing platforms. Formulating necessary solutions using various parallel computing paradigms and tools, HPC schedulers (such as slurm), Containers and Kubernetes, Python, Bash and other
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. Candidates must be supportive of the mission of the Land-Grant system. Candidates must also have a commitment to UF core values . Preferred: Experience with R/Python programing languages is desirable. Special
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developing quantitative evaluation methodologies or performance metrics. Strong programming skills in Python and modern AI frameworks (e.g., PyTorch, Hugging Face). Experience with optimization algorithms
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experience. • Experience developing applications using PHP, ideally with the Laravel framework. • Knowledge of relational databases such as MySQL. • Experience with JavaScript and Python scripting
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: Programming 1(Python) Fundamentals of AI Data Analytics & Machine Learning Deep Learning Develop course materials and curricula aligned with international standards and industry practices in AI, machine