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Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and tracking to study animal responses to fishing
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for the project through the DTU-supercomputer facility Niflheim . Your qualifications You have a PhD degree or equivalent in theoretical/computational physics or chemistry. You have a strong background in solid
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nanoparticle catalysis using advanced operando electron microscopy. VISION is pioneering technology for visualizing catalytic nanoparticles and reactions at the atomic-level by combining path-breaking advances
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/multiqubit . The project is supported by an ERC Consolidator grant (M€ 2.6) from the European Research Council (EU). Our research aims at exploring quantum information science at the nanoscale and developing
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of tomorrow to the digital energy solutions of the future; from developing electric power systems to exploring more democratic processes for project planning Technology for people DTU develops technology for
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hardware accelerators, or quantum information science. Responsibilities and Qualifications Your primary responsibilities will be centered around the fabrication and characterization of TFLN/TFLT PICs
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career paths at DTU here . Further information Further information may be obtained from Professor Bengt Johansson bhajo@dtu.dk . You can read more about Department of Civil and Mechanical Engineering at
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during emergencies and is based on high-temperature PEM (HT-PEM) technology. The HT-PEM systems operate at approximately 160 °C, offering simplified designs and operational advantages, including improved
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-source tools (preferably in Python Programming Language) to facilitate dissemination of science and tests to curate the outcomes generated during the project via GitHub. Collaborate with academic and