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to meet each individual’s development and well-being goals as much as possible. As a research engineer with expertise in the field of image processing, visualization and development of user-friendly
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development and well-being goals as much as possible. As a research engineer with expertise in the field of image processing, visualization and development of user-friendly Graphical User Interfaces (GUI:s
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qualifications: Master's degree in Engineering (M.Sc. Eng.) or equivalent. Experience in handling and processing medical images. Experience in computer programming. Preferred Qualifications Knowledge of 4D Flow
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Control Engineering and Instrumentation are growing in importance due to the need for high-quality data and information to monitor, make decisions and take correct actions in almost every process that
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Engineering, Computer Engineering, Mechatronics Engineering, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering or other related subjects. Experience working on experimental
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computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or another related field; or Have completed at least 240
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considered particularly advantageous: Experience with cryo-correlative light and electron microscopy (cryo-CLEM). Experience with subtomogram averaging and/or advanced cryo-ET image-processing workflows
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biological processes in Alzheimer’s disease and other neurodegenerative diseases. We analyze large datasets collected from patients and cognitively unimpaired volunteers, who undergo extensive testing with
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, linked to industrial production, fluid flow optimisation and design of energy technology applications and magneto hydrodynamics. Project description Efficient operation of hydraulic turbines is critical
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-driven approach for optimizing the growth of semiconductor materials by combining machine learning with a physics-based understanding of the growth process. Doping and processing of ultra-wide bandgap