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information about us, please visit: www.dbb.su.se . Project description The candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study
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research program that aims to understand the genetic principles of complex trait plasticity and develop climate-resilient plants using innovative techniques such as omics data interpretation, gene editing
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Bachelor, Master and Doctoral levels, as well as a thriving research environment and many opportunities for personal development. Our mission is to advance the theory and practice of business, with specific
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to national and international research networks. As part of the research school, you will contribute to knowledge development valuable for researchers, teachers, and other educational professionals
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with us, you receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the
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knowledge in motion for a sustainable societal development. With us, research and education are conducted with an eye towards the future. Our proximity to the business world, both locally and globally, gives
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the relationship between regenerative and cancer biology. This will require working with newts (Pleurodeles waltl). Specifically, you will generate transgenic newts using CRISPR/Cas technologies and develop cutting
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of our collaboration partners at the University of Copenhagen. The position thus includes travel to Copenhagen (1 hour by train from Lund). In addition, research visits to NIBIO, Norway may also be
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the environmental sciences, concerned with developing data, processes and tools to support sustainable management of land and natural resources. Research in this area is often applied and practice-oriented and
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of cell nuclei We are actively seeking a highly motivated PhD student with a passion for developing experimental methods to join our team. In this role, you will be involved in a groundbreaking project