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, Natural Language Processing, multimodalem maschinellen Lernen oder Mensch-Maschinen-Interaktion Erfahrung mit modernen Machine-Learning-Frameworks (z.B. PyTorch, TensorFlow), NLP-Bibliotheken (z.B
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Contribute to the scientific development and coordination of research activities and workflows in the heiMAG Laboratory Develop, validate and document reproducible analytical methods, data-processing
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covering study design, data processing, statistical analyses, model evaluation, and interpretation of findings Investigate and optimize user experience and objective performance of AI systems in
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Fachgebiet Begeisterung für Information Retrieval, Natural Language Processing, multimodales maschinelles Lernen, Computer Vision oder Mensch-Maschinen-Interaktion Kenntnisse im Umgang mit modernen Machine
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data storage layers and data processing pipelines that enable our humanities researchers to create and analyze massive, heterogeneous datasets (including legacy data)—ranging from historical texts and
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computational biology Practical experience with omics data pre-processing, pipeline development, and high-performance computing Proficiency in R or Python, and shell scripting Interest in gene regulation and
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bioinformatics or computational biology Practical experience with omics data pre-processing, pipeline development, and high-performance computing Proficiency in R or Python, and shell scripting Interest in gene
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-performance computing (HPC) environments and/or cloud-based data processing infrastructures Familiarity with workflow management systems (e. g. Nextflow) and workflow orchestration Experience with large
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families in cooperation with maternity clinics and regional networks Processing and analyzing neurophysiological data, in particular neural and physiological tracking using multivariate temporal