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data-driven analysis algorithms for the assessment of thin-film solar cell fabrication processes within NOMAD Oasis installations. The team is responsible for the installation and development of (meta
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-funded AI research group “Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data (DeSBi)” development of deep neural networks and machine learning algorithms for the analysis
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applying machine learning algorithms for solving problems in protein engineering. Written and oral command of English is essential. Research environment The Max Planck Institute of Biochemistry, Martinsried
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study at multiple levels of analysis using a combination of biochemical/ structural biological, genetic, and cell biological approaches [Lo et al Haucke, Nat Chem Biol 19, 18-27; Ebner et al Haucke, V
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in biomineral and glycan analysis and apply genetic engineering approaches to study and manipulate biomineral formation. The position involves close collaboration with the Microbial Ecophysiology Group