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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
, with a focus on RNA biology and modifications Develop, optimize, and maintain bioinformatics pipelines for data preprocessing, analysis, and visualization Perform integrative multi-omics data analyses
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University professorship (m/f/d) in 'AI in Occupational, Social and Preventive Medicine' (salary gra
implementation of AI algorithms and tools for analyzing and predicting health-related events, process optimization and decision support in healthcare. Validation of models to ensure accuracy and reliability
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into a particle accelerator. Tasks: We search for candidates with interest in new AMS measurement strategies; this includes: optimization of the ion-laser interaction for accelerator mass spectrometry
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Large-scale and in-depth characterization of optimized Channelrhodopsin variants for basic research in neuroscience and future optogenetic therapies Automated (Syncropatch384, Nanion) and manual patch
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the international visibility of the research group. Contribution to methodological and technical innovation: You will develop and test novel technical approaches, optimize existing methods, and actively foster
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). Understanding these immune-modulating effects is essential to optimize ADC-based therapies. In our study, we plan to systematically investigate two clinically relevant HER2-targeting ADCs, each bearing distinct
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in the wild. The planned work involves optimizing IRL using agent-based simulations, applying IRL to empirical fish movement data to study reward functions in the context of adaptive strategies, and
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solutions, integrating AWS with on-premise compute and storage resources Design and optimize data storage solutions using AWS S3 and integrate on-premise S3-compatible storage options Ensure compliance with
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, ideally with knowledge of Drosophila genetics and live imaging the applicant should be able to relocate for 6 months to our collaborator in Chile, where they will develop and optimize novel metabolite
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multi-parameter ion-beam tuning procedures (collaboration with Univ. of Vienna and HZDR) and developments of machine learning (ML)-algorithms for optimization of beam parameters and control of relevant