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it effect engagement and learning. For more information about the Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking
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for fast tune-up Implementation and benchmarking of quantum algorithms Qualifications We are seeking candidates with: A PhD in Physics, Applied Physics, Nanotechnology, Computer Science, Engineering, or a
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the supervision of PhD students, and possibly MSc students, advised by the lab PI You are expected to attend conferences and events related to the project and engage regularly with the Healthy AI lab through group
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mode and encodes arbitrary quantum information within the logical subspace. At the Applied Quantum Physics Laboratory (AQPL) , we work on theoretical aspects of future high-performance nano-electronic
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in areas such as algebraic geometry, complex geometry, number theory, mathematical physics and mathematics of AI. About the research project This project investigates broad questions in arithmetic and
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Chemistry » Inorganic chemistry Chemistry » Molecular chemistry Chemistry » Inorganic chemistry Chemistry » Physical chemistry Chemistry » Other Engineering » Chemical engineering Engineering » Materials
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the following qualifications: Educational background: A PhD degree in a field relevant to the project, such as applied linguistics, educational psychology, computational linguistics, psychology/cognitive science
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This PhD position is funded by the Swedish Research Council (VR) and offers an exceptional opportunity to contribute to cutting-edge research in continuous-variable (CV) quantum computing. You will
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biomedical engineering, medical physics, electrical engineering or related disciplines. This eligibility requirement must be met no later than the time the employment decision is made Strong written and verbal
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engineering Engineering » Electrical engineering Engineering » Systems engineering Engineering » Other Medical sciences » Other Physics » Electromagnetism Physics » Other Researcher Profile Recognised