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Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets
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of Learning and Data (BIFOLD), and three Berlin universities. To strengthen our team, we are looking for an open-minded, creative and development-oriented personality from 01.09.2025 to help shape the position
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research spanning the broad landscape of computational science, including artificial intelligence, machine learning, deep learning, and their applications in addressing complex scientific and societal
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such as Bioengineering, Computer Engineering, Microelectronics, Nanoengineering, and Robotics. This role offers a unique opportunity to elevate the department’s national and international profile through
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theoretical methods shall be employed. A solid background in quantum mechanics and programming skills are prerequisite for this position, as is the readiness to learn and to apply new methods. For an initial
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• The advancement of light-microscopy methods to peer even deeper into large tissues • The development of computational methods ranging from image processing to machine learning to analyse, segment, model, and
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methodologies in machine learning and causal inference applied to human health. Read more about NCRR here . Your job responsibility With a motivated, interdisciplinary team of approximately 70 researchers and
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Source (ESS), Sweden, the European Molecular Biology Laboratory (EMBL), Institut Laue-Langevin (ILL), France, the International Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the
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with news, recent publications, and projects. This position is part of a project focused on detecting and evaluating forest disturbances using advanced Machine Learning (ML) techniques integrated with
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observations, and remote sensing data to assess the impact of global change on ecosystem productivity and sustainability. You will develop novel algorithms to integrate data-driven machine learning and process