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chloroplasts. This project will develop and apply new synthetic biology methods with the aim to enhance the rate of carbon fixation and conversion in cyanobacteria. Such methods include, for example, CRISPR/Cas
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) aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of
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Life Science (DDLS) aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is
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a total of 3.3 billion SEK from the Knut and Alice Wallenberg Foundation. The program’s purpose is to train the next-generation of data-driven life scientists and to create globally leading
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Sequencing (ISS) . Main responsibilities The primary responsibility of this role is to work on projects for external users, but the position also includes internal research and development. Wet lab work
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highly recognized research. More information about us, please visit: The Department of Biochemistry and Biophysics . Project description The successful candidate will develop machine learning (ML
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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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should have experience in method development, and various molecular biology and biochemical analysis techniques. You should also have a strong research track record, as evidenced by first authorship
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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