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. The student will work in a group addressing all these challenges, developing new AI-based methods to improve biological realism in simulations which will lead to more accurately inferred GRNs from real data
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understanding their pharmacokinetic properties including how the compounds are metabolized to ensure safe and effective drug development. Data-driven life science (DDLS) uses data, computational methods and
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development of phylogenetic methods. The EvonetsLab is supported by a Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven
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and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create
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and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data
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of MSI advances our understanding of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as
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within the development and evaluation of new materials in interaction with biological systems to understand the underlying principles. For us, it is equally important to study the impact of materials
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. The international environment and good opportunities for interdisciplinary collaborations enables PhD students at the department to participate in relevant research projects and prepare for an international research
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evolution and direct manipulation of resource allocation patterns, this project aims to explore somatic and germline mutation rates from a life-history perspective, to determine whether they are integrated
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on sustainable chemistry but also advanced analytical methods of chemicals and materials. The department has a very well-developed research infrastructure with state-of-the-art equipment with qualified support