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Field
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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electronic doping to control and modify their electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve urgent problems in organic
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include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow
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data at the actual beam line for LDMX, which will be operated parasitically to the photon science conducted with LCLS-II. In addition, we plan to collect cosmics data with a prototype of the hadronic
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maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis. You will also act as a coordinator for ongoing facility
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maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis. You will also act as a coordinator for ongoing facility
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structural biology, molecular biology, biotechnology or equal. You have extensive experience in EM data collection (SEM, TEM and/or Cryo-EM) and analysis. Very good computer skills with a focus on image
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on EM methods. Work assignments include, operation and maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis
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initiatives with organizational goals. You will assist SciLifeLab’s management in initiating, developing, and managing collaborative projects and processes, offering both strategic advice and operational
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lidar. The development is done by raytracing, Computer Aided Design and 3D printing. After calibration, the instruments will be tested in field for applications within bloodsucking disease vectors as