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development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
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, and engage with a vibrant network of national and international collaborators. The recruited candidate will work in the AIMLeNS lab lead by Assoc. Prof. Dr. Simon Olsson at Chalmers University
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tomography and mechanical testing. Experience with multidisciplinary environments and collaborative research projects. International networks and experience. Consideration will also be given to how
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development of purification protocols to achieve ultra-high homogeneity. Practical experience with, and knowledge of, spectroscopic and isotope-based techniques to characterize and monitor protein self-assembly
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technology C3NiT and within a European network within the WBG Pilot Line, but also with experienced researchers within materials growth and materials characterization, at the departments of solid state physics
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to actively participate in the department's environment and networking both internally and externally, as well as develop new project ideas and seek project funding. A certain amount of teaching and supervision
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network of national and international collaborators. Project overview The aim of this two-year project is to validate and further develop advanced numerical models (originally developed at Chalmers
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? With data-driven methods, new opportunities arise to understand ecosystems as complex, dynamic networks. This project aims to analyse the world’s most extensive eDNA database, consisting of weekly
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research questions. This postdoctoral scholarship offers the opportunity to be a part of this AI revolution by developing novel neural network architectures specifically optimized for plant genomic data. Our
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microorganisms, and developing of spectral collection and analysis protocols that will allow this biochemical data to be effectively used to support optical microscopy-based deep-learning algorithms for species