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Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food
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Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food
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; Analytical interest in and understanding of political and scientific debates in connection with climate change and global sustainability and related political processes and bodies. Hands-on experience with
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(100 % E15 TV-L). The central task of PRIDAS is developing and providing data science services, processing and analysis methods, and modern management of highly complex multimodal data. In research with
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such as Git. Expertise in at least one of the following areas: Computer vision (e.g., object detection, segmentation, classification, explainable AI) Microbiome data analysis, bioinformatics, or modeling
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team specializing in biodiversity monitoring, research data management, service development, and automated machine learning-based biodiversity data processing at Senckenberg in Frankfurt. This ensures
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species Perform bioinformatics and computational analyses to identify microbiome-lifespan relationships Apply rigorous molecular biology methodologies to elucidate mechanisms underlying microbiome effects
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-throughput sequencing techniques and associated bioinformatic data analysis skills. High-throughput sequencing is state-of-the-art technique in characterizing human cell line models to understand perturbations
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parallel seagrass projects What do we expect from you? You have a researcher personality, and your desire to understand our environment is driven by scientific curiosity. Applicants must have a university
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qualifications and skills: You hold a Doctorate degree (Ph.D.) in data science, bioinformatics, computational biology, genetics, or a closely related field. You have a strong background in machine learning (e.g