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for a research environment where scholars can utilize state-of-the-art Large Language Models (LLMs) to interrogate their data with open infrastructure, ensuring that the future of SSH research remains
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, and information regarding benefits can be found at https://mybenefits.nfp.com/UChicago/postdoctoral/benefits-guide/ . Additional information for postdocs in the University of Chicago Biological Sciences
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Interaction with a design and data-oriented perspective. Experience in research in the domain of affective interaction design Background in large-scale data engineering Personal or professional experience
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in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
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contact Taylor Arnold (tarnold2@richmond.edu) with any questions. For more information on the Distant Viewing Lab, please visit https://distantviewing.org . Create a Job Match for Similar Jobs About
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major hurdles in the use of genomic data in public health – access to big data sets, the technology to analyse these data, and the knowledge to interpret the results. In this role, you will develop
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. Essential Duties and Responsibilities Analyze large-scale next-generation sequencing (NGS) datasets, including whole genome/exome sequencing, RNA-seq, and DNA methylation data. Develop and implement state
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/oportunidades/9190 . Where to apply Website http://www.fapesp.br/oportunidades/9190 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility
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Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers
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systems, large multimodal foundation model training and/or finetuning, and continuous learning pipelines. Experience in multi-modality data analysis (e.g., image, video, text). Experience working in