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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
. The host research group leads a number of projects on the development of theoretical and applied methods in statistical modelling, medical imaging data analysis, cancer omics, precision medicine and
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mouse models. The research will include colony management and genotyping, deployment and evaluation of in vivo gene therapy treatments, EEG and behavioral assessments, histology and molecular studies
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implementation of spatial techno-economic models, accessibility mapping, and visual impact geodata integration, under the supervision of Dr Ross O’Connell. This work aims to support sustainable marine spatial
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Potsdam Institute for Climate Impact Research, and the Technical University of Berlin. The broad concept of the project is that currently available energy modeling systems are unable to simultaneously
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seedling monocultures and mixtures under elevated CO2. This experiment provides a platform for testing mechanisms controlling responses of sapling monocultures and mixtures to climate change e.g., altered
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under the supervision of Rinn AI Research Ireland Principal Investigator, Associate Professor Erivelton Nepomuceno. Project theme: Energy-Aware Modelling and System Identification for Sustainable
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/). The unique value proposition of 3rdAI is its “SavvyAI” model – a transferrable and scalable bespoke dictionary and semantic tagging platform curated by domain experts that interface between the corpus and the
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-inducing drugs. Through integrated molecular, cellular and tissue analyses, including patient-derived lung adenocarcinoma tissues and zebrafish CDX models, the study aims to define ferroptosis-driven
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proof-of-concept study using protein A resin (as a model resin), 2 IgG product streams produced by a platform CHO cell lines and advanced analytical methodology (including LC-MS, ELISA and CE-SDS
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
. The candidate will utilize Python and R to execute rigorous quality control pipelines that eliminate artifacts, doublets, and low-quality cells while preserving rare populations. The researcher will perform