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countries. We also host a large data set of > 30,000 terrestrial insect species, based on DNA metabarcoding. Additionally, we have access to accompanying environmental data. These data sets provide a unique
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. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of
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both with perturbative techniques (high order loop calculations) and nonperturbative methods (lattice QCD). For more information on the group research activity see the web page https
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. The role involves setting up experimental models using Particle Image Velocimetry (PIV) and performing Computational Fluid Dynamics (CFD) simulations to analyze fluid flow and deposition patterns. The data
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Hospital Bonn, the position will be affiliated with a newly established junior research group focusing on early detection of Alzheimer's disease using multiple layers of omics data and statistical modeling
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will be required to submit personal information. Please be sure to refer to the respective Privacy Policy of each institution. By submitting your application, you confirm that you have read and
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safe machine learning and its certification, and implementation of regulation frameworks like the EU AI Act, General Data Protection Regulation (GDPR) and the Medical Devices Regulation (MDR) Very good
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: An essential aspect of this position is the analysis of neuroimaging data (primarily EEG) in the context of the study of attention and memory. Here, we focus primarily on the investigation of working memory and
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its detailed analysis through Oxford Nanopore Technologies (ONT). Your role will be central in creating and applying bioinformatics and machine learning tools to analyze long-read data and decipher cap
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team dedicated to advancing high-throughput, data-driven multi-omics research in pediatric hematological malignancies. The group is affiliated with the Division of Pediatric Hematology and Oncology