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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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involves collecting clinical data on the effects of childhood cancer treatment, bioinformatically handling sequence data and developing prediction models, as well as conducting Single Cell RNASeq studies and
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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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processes with applications in drug development directed towards heart failure and antimicrobial resistance. The position is for four years of doctoral studies, including participation in research and
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Chemistry. The thesis project will focus on regulation of calcium signalling processes with applications in drug development directed towards heart failure and antimicrobial resistance. The position is for
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works in plants. Our group has developed several tools allowing genetics, microscopic, micromechanical and computational dissection of this process (https://www.upsc.se/researchers/6177-verger-stephane
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to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
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to create secure, autonomous and developable solutions that interact with each other and their surroundings, from the edge to the cloud. Project description For this work, you will be working as part of a
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to create secure, autonomous and developable solutions that interact with each other and their surroundings, from the edge to the cloud. Project description For this work, you will be working as part of a
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to create secure, autonomous and developable solutions that interact with each other and their surroundings, from the edge to the cloud. Project description For this work, you will be working as part of a