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years to work in a multi-professional international team with automatization of radiotherapy treatment planning. Description of the project The project aims to develop methods for automated dose planning
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to work in a structured and methodical manner Eligibility A person who has been awarded a doctorate in a subject relevant to the position, or a foreign qualification deemed to be the equivalent of a
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of statistical methods Presenting results at seminars and conferences Writing scientific publications Eligibility A person who has been awarded a doctorate or a foreign qualification deemed to be the equivalent
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treatment. Develop methods and models that can predict the course of the disease by analyzing detailed data on the immune system and metabolism. We are conducting a large study, the CoVUm study, involving 579
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experience in the area of designing algorithms and methods for data privacy and machine learning is required. It is highly meritorious to have publications in top venues in machine learning, and security and
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leverage patient-derived material such as post-mortem tissue and cell models, including cellular reprogramming coupled with CRISPR gene editing. We use state-of-the-art sequencing methods e.g. Oxford
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of 3D genome and epigenomic landscape orchestrates gene expression programs that underlie neuron-to-glioma communication. In this project, we will use single-cell sequencing methods, bioinformatics, and
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brain imaging methods as a window into human brain plasticity. Projects will combine new data acquisition with analysis of existing datasets, and may leverage: MRI (structural, diffusion, and functional
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, or another subject of relevance for the project. Documented knowledge and proven research experience in the area of designing algorithms and methods for data privacy and machine learning is required. It is
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writing scientific papers and communicating our research advances in conferences. Methods: programming a humanoid platform using ROS2 packages, solve SLAM, use imitation learning algorithms to learn pick