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Field
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Do you want to contribute to top quality medical research? Interested in developing tools that bridge computational science and nucleic acid technology? Whether your passion lies in computation
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knowledge of deep learning and computer networking/systems is required Experience with AI as a platform and expert use of AI as a tool strongly desired Experience implementing a language model is a plus Refer
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. The research team collaborates closely with an industry-leading engineering team at FreshCognate, which supports tooling for data processing, annotation, and analysis. The research team works closely with NTO
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on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental aspects
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crop improvement. The successful candidate will work on chromosome-scale genome assembly, gene annotation, structural variation discovery and development of genomics tools to accelerate breeding across
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will focus on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
relatively low-resource languages. This includes corpus preparation, tokenization, model adaptation, and evaluation in settings where off-the-shelf tools are insufficient. The project aims both to generate new
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Strong data analysis skills: familiarity with modeling and/or data-science tools is beneficial but not required Excellent written and verbal communication skills and the ability to work effectively in a
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). • Assisting with coding and qualitative analysis using tools such as NVivo and LLMs (training provided if needed). • Contributing to literature reviews, research memos, and summaries. • Supporting project
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of the atomic layer deposition tools. Qualifications: PhD in one of the following broader experimental areas: physics, chemistry, materials science Experience with thin film deposition using atomic layer