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the research group of Dr Danny Incarnato, at the Groningen Biomolecular Sciences and Biotechnology Institute (GBB) of the University of Groningen (The Netherlands), to investigate RNA structural ensemble
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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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understand data, and then make useful predictions based on it. These algorithms integrate insights from various fields, including statistics, artificial intelligence and neuroscience. To find more information
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capable of local shrinkage or expansion upon application of heat. The response should be predictable on the nm level from basic understanding of the processes involved during growth and heating. Key
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towards greater sustainability. To achieve this, we aim to understand and predict the impact of anthropogenic pressures on ecosystems and humans, and use the knowledge obtained to identify solutions for a
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Sciences and Biotechnology Institute (GBB) of the University of Groningen (The Netherlands), to investigate RNA structural ensemble dynamics in living cells. What The successful applicant will work on a
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due to climate change, as well as reservoirs, teleconnections, tipping points and fluxes of energy, water and carbon, while predicting future change. The CCI also addresses the R&D required to support
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. Understanding these interactions is important for predicting pesticide persistence, optimizing sustainable agricultural practices, and mitigating environmental risks. In this postdoc you will advance
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and material performance remains unclear, let alone inverse design of these molecules. The goal of this project is to develop ML models for: 1) predicting properties of oligopeptide materials based
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. Become part of a team making a real impact in precision oncology! Recent illustrative work The work will extend on recent research entitled “Unbiased Drug Target Prediction Reveals Sensitivity