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embedded within the group of Dr. Fedor Miloserdov ( Homogeneous Catalysis and Biomimetic Synthesis - WUR ), located in the Laboratory of Organic Chemistry ( Organic Chemistry - WUR ), which is headed by Prof
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computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning
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appointed at WU-ORL, which is led by Prof. Dr. ir. Sander de Leeuw . You will be supervised by Dr. Rene Haijema from WU and Dr. Yasemin Merzifonluoglu from TiU. Your qualities You are eager to tackle real
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the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a development. In the frame of a
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to interview already during the application period. The positions will be filled as soon as suitable candidates are identified. For additional information, contact Prof. Anton Zasedatelev, anton.zasedatelev
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conferences Contribute to reports and research activities in support of project management Guide M.Sc. students Participate in a dedicated training plan For further information, please contact Prof. Marcus Völp
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on 01.09.2025 a gross salary up to 65% E13 TV-L. Accommodation in IPK guest house (on request) If you need further information feel free to contact Prof. Dr. Hannah Schneider Tel.: +49 (0) 39482 5506. What you
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Tempels and prof. Martha Bakker. Your qualities You are someone who: Is excited about contributing to smart approaches to manage public space Seeks intellectual challenges and opportunities for growth Can
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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machines that will lead to demonstrations with practical relevance. Specifically, this project in the group of prof. Feringa aims to address two key challenges: 1) How can we amplify the work of molecular