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); execute PoCs and tech transfer with foundries, equipment/materials/metrology vendors. Data & Platforms: Establish robust data governance and MLOps pipelines; develop reusable algorithms and prototype
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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ahead of SEO and AI trends, algorithm updates, and evolving best practices. On-Page & Technical SEO Perform regular website audits to identify and resolve technical SEO issues (e.g. site speed, mobile
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++, Python, and JavaScript languages, multi- and many-core SoC, RISC-V, hardware synthesis, hardware-software co-design, (meta-heuristic) optimization algorithms, machine learning frameworks, (bonus topics
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opportunities and competitive advantages. Stay ahead of SEO and AI trends, algorithm updates, and evolving best practices. On-Page & Technical SEO Perform regular website audits to identify and resolve technical
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, and optimise paid digital marketing and social media campaigns across platforms such as Meta, TikTok, Snapchat, and LinkedIn (and more) to maximise reach, engagement, and ROI. Develop and manage
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validation in optical wireless communications, sensing systems, or related areas. Skills Essential: C1 Excellent skills in programming, algorithm development, and mathematical modelling C2 Excellent
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
, implement and maintain computational methods for meta-analysis of data generated in the lab as well as publicly available data. Independently execute a scientific computational project (e.g. a project that
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the AI algorithms state of the art for crater detection. generate an overview of available meta data in coordination with the game developers. identify potential use cases in the science community and
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reinforcement learning for large language models (LLMs). Research directions include developing next-generation post-training algorithms, exploring diffusion-based approaches to reasoning with language models