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Laue-Langevin (ILL), France, the International Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. Your work
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to enable collaborative work between the two strategic research areas eSSENCE and NanoLund (https://www.essenceofescience.se/ and https://www.nano.lu.se/ ), which means that the postdoc will benefit from
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computational methodologies, ranging from atomistic and electronic-structure–based materials modeling and characterization, via machine-learning and high-throughput methods, to ab initio calculation
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. Motivating examples include the spatio-temporal dynamics of sweat droplets, interacting cellular or tissue shapes, and geometric structures arising in vegetation such as tree canopies. The work combines
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the DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures
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a background in Global Studies and/or Human Rights combined with expertise in Gender Studies More information about the bachelor’s programme: https://www.kau.se/en/education/programmes-and-courses
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at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), coordinated by
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or a Master’s degree (magisterexamen) of 60 credits* in Applied Mechanics, Structural Mechanics, Mechanical Engineering, Civil Engineering, Engineering Physics, or similar. Strong written and verbal
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(http://www.hogberglab.net/ ). You will contribute to the Dura-store project that is a part of the European Innovation Council’s Pathfinder Challenge for DNA-based digital data storage, aiming to use bio
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analytical techniques, including RAMAN spectroscopy and MALDI-TOF MS, to characterize the composition, structure, and functional groups of synthesized organic materials and organofilms Design and perform