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2026 or as soon as possible thereafter. We expect Degree. A two-year master’s degree (120 ECTS) in Robotics, Electrical Engineering, Software Engineering, Computer Science, or an equivalent field (or a
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qualified women to apply for the position. Your tasks #designing, planning and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques #developing computational codes
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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PhD Scholarships in Piezophotoacoustic Technology for Minimally Invasive Endoscopy - DTU Health Tech
described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD, diversity is an essential feature and a
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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, or a related discipline. Hands-on research experience in one or more of the following areas will be considered an advantage: Confocal microscopy and Image processing Optical bench instrumentation
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of systems biology, virology, high-throughput genetics, genomics and proteomics, molecular and cell biology, high content automatic imaging, chemical biology, and organic chemical synthesis. The program Our
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, or related Experience and skills · Multi- and hyperspectral images processing · Knowledge of quantitative remote sensing · Knowledge of physical and statistical modelling concepts