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, and energy systems into a comprehensive bio-based circular economy. We develop and integrate techniques, processes, and management strategies, effectively converging technologies to intelligently
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side projects and build networks inside and outside the institute Analyze diverse data sets for multi-omics integration in plant genetics Expand expertise and collaborations beyond plant research Our Lab
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physiology. The project focuses on understanding gut barrier loss during aging in killifish, utilizing techniques such as microscopy, cytometry, and genome editing. Research focus of the Lab: The Valenzano
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populations. This project will explore the genetic and evolutionary mechanisms shaping adaptation through a combination of genomic, computational, laboratory, and field-based approaches. Research focus
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team to work on machine learning-supported rapeseed genomics and breeding. Your tasks: You design, train and interpret deep-learning models to predict regulatory gene variants in rapeseed genomes. You
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products and processes in real-time. Why join us Creative freedom – opportunities for knowledge growth – industry connections – dynamic team Your tasks • Scientific research and project management
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at large scale facilities Establishment of cooperation projects with energy-related institutes at Forschungszentrum Jülich Initiating grant applications Supervision of MSc and BSc students Presentation
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Your Job: You will develop impactful machine learning techniques to deal with complex quantum states. Possible research directions and tasks include: Method development to advance neural quantum
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration
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of CRC (Collaborative Research Center) projects collaborate and communicate effectively in interdisciplinary teams, including oncologists, molecular biologists, and computational scientists Your profile