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Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical challenges. Our core research topics include but not limited to the following...
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profile You are a highly motivated and dedicated candidate with an MSc degree in Energy, Mechanical, Chemical-, Environmental or Electrical engineering (or related field such as energy economics). You
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balloon system and assisting with UAV/floating balloon operations. Analyzing in situ data (holographic imagers) and ground-based remote-sensing data (cloud radar) to derive ice crystal growth rates via
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manipulating nanoparticles’ dynamics in engineered potentials. Motivated by both, exploring the limits of quantum mechanics, and exceptional sensitivity to inertial and force sensing, Levitodynamics is striving
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, Geophysics, Computer Science, or a related field. A solid grasp of general physics and a keen interest in the physics of wave propagation. Strong programming skills in Python, Matlab, or similar languages. You
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Doctoral School candidates must submit their application file to the doctoral program of their choice within the deadlines specified by the latter. Some programs publish open positions related
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willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest in hands
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. Empa is a research institution of the ETH Domain. Your tasks Your tasks will focus on the design and operation of experiments to investigate the failure mechanisms in wooden structures. This will require
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materials and devices based on nanoscale surface effects, utilizing a combination of experimental and computational approaches. We are looking for a highly motivated PhD candidate fascinated by quantum