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image analysis display skills and experience from computational methods, e.g., numerical modelling of acoustofluidic devices. After the qualification requirements, great emphasis will be placed
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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Project description Third-cycle subject: Computer Science The project focuses on advancing species
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for structural biology. You are independent and flexible and can take on new challenges, establish new methods and participate in several different projects in parallel. It is important that you have good
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in collaboration with facility clients. This includes performing precision gene editing in cell lines and conducting massively parallel genetic perturbations in a pooled format (pooled CRISPR screens
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research school. Data driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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, providing a deeper understanding of how molecular interactions, biochemical processes, and cell-to-cell communication collectively shape development and function. Additionally, computational methods now allow
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have a background in bioinformatics, computational cancer biology, or related fields with experience in cancer and data-driven research. For more details about our research visit: www.alundberg.org
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National Program for Data Driven Life Science (DDLS). About the DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems
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-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human
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diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study