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: Epidemiology and Environmental Health Posting Link: https://www.ubjobs.buffalo.edu/postings/60441 Job Type: Part-Time Posting Detail Information Position Summary This position is in the Department
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staff and students. YOUR TASKS You'll be working on a research project focused on data-driven modeling for optimizing production processes in the pharmaceutical sector. Your specific tasks will include
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automation and simulation-driven optimization of high-frequency systems using machine learning * development of optimization algorithms and numerical modeling procedures * development of simulation models
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. Demonstrated broad experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC/data/CI. Proven ability
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At Radboudumc, you will develop and optimize metabolomics methods
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At Radboudumc, you will develop and optimize metabolomics methods
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at the intersection of optimization, theory, and practical ML Where to apply Website https://career.cispa.de/jobs/postdoctoral-position-in-collaborative-distributed… Requirements Research FieldComputer scienceEducation
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plan and execute campaigns across multiple channels, optimize SEO and Google Ads, build email nurture sequences, and craft compelling ad copy and landing pages. If you are a results-oriented marketer who
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analytics skills among working professionals, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story telling. This degree prepares
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architectures for both GenAI (LLMs, diffusion models) and traditional ML models Build and maintain real-time and batch inference pipelines with high availability and fault tolerance Optimize AI workloads