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at FTPI in quantum many body systems, including superconductivity and correlated electron systems. The position is needed to accelerate the projects. Qualifications Required PhD in Physics by beginning date
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geoscience and remote sensing methods with AI and advanced computing technologies for Earth observation (EO) applications, including climate science, forestry, or agriculture. Your doctoral research will
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy, and theoretical and computational physics. We announce a PhD position within the Marie Skłodowska-Curie Doctoral
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research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy, and theoretical and computational physics. We announce a PhD position within the Marie Skłodowska-Curie Doctoral
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of assignment will depend on the background and interests of the successful candidate but may include emerging technology including quantum and artificial intelligence, biotechnology, defense, government funded
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detection and applications in quantum communications and single-photon imaging. With single-photon avalanche diode (SPAD) detectors, we initiated and led collaborations to produce the first custom-designed
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; quantum sensing and measurement, including the development of new probes and instrumentation; quantum devices and computing; and quantum systems based on trapped ions, ultracold atoms and molecules, photons
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, including cutting edge quantum physics and chemistry, material science, nanotechnology, biochemistry, cell biology, or medical research. The SNI PhD programme includes multiple social events, trainings in
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Building a quantum computer that can solve real-world problems will require the integration of many highly coherent qubits. Hole-spin qubits in planar germanium quantum wells are among the most
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. Preferred Qualification to possess (Preferred Qualifications) • While candidates in all areas of computer science will be considered, the areas of AI, Quantum Computing (including Quantum Machine Learning