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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
package development) and command line-based analysis tools (e.g. Python) • Knowledge with public sequence databases, error correction algorithms • Scientific experience in immunology, molecular and cell
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in healthy states, genetically perturbed states, and during liver regeneration. On the other hand, you will develop algorithms to disentangle direct intercellular signals from those that are induced
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. Knowledge of a wide range of statistical tools and clustering / prediction algorithms is required. Experience of using foundation models and generative AI would be an advantage. Specific experience of using
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integrate data, develop novel algorithms/methods and provide quality assurance for this work Independently manage and coordinate research projects on the above-mentioned topics and independently acquire third
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teaching merits and, if necessary, a teaching demonstration. Additional evaluation criteria for this position are: Experience in some area of computer science represented at the department (algorithms
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nonadiabatic dynamics. Interest in extending methods that allow the application of quantum algorithms, using quantum simulators or/and quantum computers for quantum chemistry. Strong programming skills
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are particularly interested in outstanding candidates with innovative research programs that attempt to bridge the gap between biological and artificial intelligence, and/or use statistical ML algorithms and modern
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
information. The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry
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Professor positions in Quantum Mathematics with emphasis on pure mathematics with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. The targeted
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
predictive machine learning model; iii) based on the machine learning algorithms, develop PBF-LB Mg alloy with defined microstructure, improved mechanical and corrosion properties. Research stays are planned