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machine learning, artificial intelligence, computer vision, or data science previous experience in ecological modelling experience with working in multi-national research and infrastructure programmes
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ecological research with genetic data previous experience in machine learning, artificial intelligence, computer vision, or data science previous experience in ecological modelling experience with working in
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. Therefore, our objective is to use machine learning for assisting the decision of medical caregivers. We show two concrete examples as postdoc projects: How to predict and detect an infection before visible
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study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. One Ph.D. position is available in cancer precision medicine using advanced machine learning
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another way. If you can say yes to some of the below points it is highly beneficial: Proficiency in programming languages, preferably Python. Knowledge of AI and machine learning techniques Experience in
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modelling, machine learning and computational approaches in biodiversity science. The student will be will be supervised by Aelys Humphreys (Stockholm University) and work closely with an international team
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learning methodologies to extract conformational ensembles from single-particle cryo-EM data. The project builds on our recently established (not yet published) software, which machine-learns protein
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. This research project is a collaboration between Eric Libby and Laura Carroll. It involves using machine learning techniques to infer the mechanisms by which microbes make decisions, bioinformatic techniques
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neurodevelopmental reconstruction using a machine learning approach and beyond. Combo of single cell and spatial transcriptomics adds a critical layer of information by mapping gene expression patterns to specific
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membrane proteins involved in numerous physiological processes. By leveraging machine-learning enhanced virtual screening, the PhD student will be able to perform searches for ligands in chemical libraries