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Profile: University degree (M.Sc., diploma or equivalent) in materials science, engineering sciences, or physics Experience in at least one of the methods of X-ray imaging, transmission electron microscopy
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advances to support life science research. EMBL has been at the forefront of numerous engineering and microscopy breakthroughs, significantly advancing imaging technologies and enabling new biological
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, pharmaceuticals and vaccines, molecular and immune diagnostics, as well as other innovative fields. We are home to scientists, engineers, laboratory technicians, and administrative staff who all dedicate their work
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for calculation and design Design and optimization of a flexible oxygen supply Optimization of the pilot plant based on test and simulation results Development of design and process engineering solutions
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application-inspired. In our Department System Process Engineering, we are seeking for a Post Doc (m/f/d) – 100 % in non-invasive measurement methods for process and quality control During agricultural-related
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Processing and visualization of huge amounts of data Applied science in exciting projects Preparation of presentations Testing software and frameworks What you bring to the table Enrolled in a master's
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for imaging plant tissues (rose cuttings) Realisation of a corresponding measuring stand and implementation of test series for imaging Realisation of a data processing routine for the automated detection
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the facility can be found online . For our team we are looking for an Engineer or Technician for the Imaging Facility (m/f/d) This is a full-time position, starting as soon as possible and initially limited
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on developing the imaging and sensing technology of tomorrow. We now seek a highly qualified and motivated science manager (f/m/x) to support our ongoing third-party projects and the preparation of new grant
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architectures and orchestration and documentation experiments Analysis and preprocessing of different data types (time series, graphs, images, matrices) Processing and visualization of huge amounts of data