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, agent-based modelling, and the use of online experiments is desirable. To be considered for this PhD, please follow the instructions here: https://www.centre-ub.org/studentships/application-process
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retrieval-augmented generation (RAG) and knowledge-base integration to improve productivity and decision quality in functions such as customer support, sales, marketing, finance operations, HR, and
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datasets and use it to power a vision foundation model capable of accelerating discovery across the life sciences. We're seeking a skilled Data Engineer to drive scientific innovation through robust data
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
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research, the KTP will develop and deliver high-quality, best-in-class training models for a global customer base in safety critical environments. The successful candidate will be employed by the University
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developmental signaling pathways (Notch, Hippo) support tumorigenesis and might reveal novel therapeutic vulnerabilities. Every project incorporates the evaluation of novel pharmacologic agents to shepherd
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mission. Program Leaders support students in building skills and confidence as leaders and change agents; Program Leaders will learn how to lead their peers in facilitating learning experiences for students
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mission. Program Leaders support students in building skills and confidence as leaders and change agents; Program Leaders will learn how to lead their peers in facilitating learning experiences for students
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of Generative AI including prompt engineering, retrieval-augmented generation (RAG), AI agents, and foundation models. Practical experience using and demonstrating GenAI tools and platforms (e.g. ChatGPT-like
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge