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spatial distributions of active phases across multiple length scales. The PhD student will collaborate with international partners to study the evolution of crystalline and amorphous domains in the hybrid
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are curiosity-driven especially interested in interdisciplinary research, eager to continuously learn with critical thinking and explore new ideas while collaborating with a team Language Skills: Fluent written
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are looking for a highly motivated and skilled PhD researcher to work on graph-based machine learning surrogates of wind energy systems. Our goal is to accelerate flexible fatigue load estimation
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importantly, we seek individuals who are curiosity-driven especially interested in interdisciplinary research, eager to continuously learn with critical thinking and explore new ideas while collaborating with a
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, Natural Sciences or related disciplines be very motivated and enthusiastic to learn and expand both computational and experimental skill set have an analytical mindset be able to summarize data extracted
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Health Sciences is looking for a full-time (100%) doctoral scholarship holder in the field of molecular exercise physiology. Research project The PhD research project is conducted in collaboration with
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MSc in Systems Biology, Molecular Biology, Natural Sciences or related disciplines be very motivated and enthusiastic to learn and expand both computational and experimental skill set have analytical
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on real-world medical data, in close collaboration with a team of statisticians and machine learning researchers. Job profile - You have a master's degree and a strong background in statistical data
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for Surgical AI (Faculty of Medicine and Health Sciences, Department of Human Structure and Repair), in collaboration with ORSI Innotech, we are looking for a motivated doctoral fellow. YOUR JOB For our
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, these robots are easier to interact with and have many applications in entertainment, services, education, collaborative robotics and therapy You will work on the technical aspects of social robots, including