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of how hotspots in human and marine mammal presence are distributed in affected areas. Acoustic ship models will furthermore help to understand and gauge the acoustic footprint of ships in various types
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are seeking a motivated and enthusiastic colleague with strong computational skills in the analyses of complex data sets to join our teams. About the project We have generated advanced brain on chip models
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and/or insect cell culture. Prior experience with single-molecule biophysical techniques, GPCR biology, or quantitative modeling. Significant contribution towards peer-reviewed research articles in
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Python is required. Programming in C or C++ is a plus. Background in statistical genomics, longitudinal modeling, non-parametric statistics, machine learning and deep learning are preferred and encouraged
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approaches are integrated with behavioural studies, large-scale data analysis, biophysical modelling, multi-omic profiling, and collaborative human fMRI studies to build a comprehensive understanding of brain
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and in silico techniques. informatics/AI modeling approaches. identifying new therapeutic targets for chronic disease. Key responsibilities include : planning, organizing, performing, and monitoring
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Work group: Institute of Coastal System Analysis and Modeling Area of research: Scientific / postdoctoral posts Starting date: 21.05.2025 Job description: Postdoc position in the field ofclimate
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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cycle progression in a preclinical model. Gut. 2022;71(11). Lesur A, Schmit PO, Bernardin F, et al. Highly Multiplexed Targeted Proteomics Acquisition on a TIMS-QTOF. Anal Chem. 2021;93(3) Key Skills
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tasks will be: Develop and apply electromagnetic modelling techniques in combination with inverse design to study light-matter interactions in dielectric nanostructured optical surfaces. Evaluate optical