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the application form. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Application
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having passed exams in areas relevant to the subjects of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer
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new cryo-electron microscopy techniques. The PhD student will be trained in a highly international environment with active collaborations with, e.g. University of Michigan, and visits to synchrotron
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to study protein structure and function (e.g., X-ray crystallography, NMR, cryo-electron microscopy). Additionally, you will investigate how these proteins interact with each other and with various
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protocols for data analysis, visualization, and interpretation. We also use and develop new cryo-electron microscopy techniques. The PhD student will be trained in a highly international environment with
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and advanced time-resolved X-ray crystallography/ electron microscopy (cryo EM) on artificially activated hydrogenases to follow catalysis in the form of real time molecular movies. Solving protein
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biology. The applicant should also have an interest in learning, or previous experience in, computer programming, particularly using languages such as Python. The ideal candidate is driven and a creative
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than September 2025. Application Applications must be submitted electronically using the e-recruitment system of Umeå University. A complete application should contain the following documents: A cover
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degree (at least 240 higher education credits) in Energy Engineering, Computer Science, Robotics, or Electrical and Computer Engineering. A four-year natural science degree with technical content
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form. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Application deadline: 9th