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researcher to work with Dr. David Marlevi and co-workers on the use of machine learning and physics-informed analysis for improved hemodynamic risk prediction using four-dimensional flow magnetic resonance
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Institute to develop and train machine learning algorithms for text categorization (Natural Language Processing) and image interpretation. Your primary task will be to create algorithms capable
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Do you want to contribute to improving human health? Decscription of the researchgroup Our lab is advancing precision cancer medicine through deep learning models of the molecular networks within
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Do you want to contribute to improving human health? Our lab is advancing precision cancer medicine through deep learning models of the molecular networks within cells. The models encompass
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biology and machine learning to study RNA life? Come and join us at SciLifeLab. Your mission The available postdoctoral position concerns developing and applying novel genomic approaches to study eukaryotic
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of analyzing clinical data. Documented scripting experience (i.e., Matlab, R). Statistical modeling and machine learning techniques. This is a fixed-term contract for up to two years. What do we offer? A
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setup for single-cell genomics, including FACS sorting cells, supervising the robotic infrastructure, sequencing the libraries on in-house sequencing machines, processing of sequencing data, including
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with machine learning methods will be prioritized. Successful applicants will have the opportunity to work in a stimulating and collaborative environment with state-of-the-art infrastructure. The Lopez
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leverage computational methods, statistical models, and machine learning to dissect and interpret vast datasets to uncover novel insights that can lead to improved treatment strategies. Key Responsibilities
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scientists participate in national and international expert groups. Your mission The position will include work on bioinformatics, machine learning of transcriptome data within a European project funded by