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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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and compare discrete “events” of coordinated movement and use our recently developed “swaRmverse” analysis pipeline [2] to perform inter- and intra-species comparisons of collective movement [3]. Based
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. Tracking methane cycling—balancing production vs. consumption and tracing carbon substrate sources—remains challenging. We will integrate methane clumped-isotope analysis with carbon and hydrogen isotope
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Description Join us in seeking exciting new developments using graph theory in nearest neighbor models for active matter! Do you enjoy working with graph theory, and seeing how functions on graphs can inform
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and materials engineering. For more information about the APE group please use the following link: www.rug.nl/research/ape. The project cooperates with the Bernoulli Institute of Mathematics
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bottom-up approaches for investigating the mechanisms of chaperone-mediated protein folding. Your responsibilities will include: conducting independent experimental work and perform data analysis
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predictive accuracy. As part of the project, the successful candidate will receive training in advanced experimental techniques and data analysis, collaborate with world-leading experts in materials science
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PhD Student (gn*) Reference Number: 10754 Fixed-term of 3.5 years | Part-time with 65% (25 hours/week) | Salary according to TV-L E13 | Clinic for Radiology / Translational Radiology Group and
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, optimization techniques, and climate change scenario analysis. The successful candidate will contribute to the development of intelligent models and decision-support tools that enhance the performance
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duties involved in a researcher posistion is to conduct research. Detailed description of the work duties: Bioinformatical analysis of gene expression data Analysis of methylation and histone modifications