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of digital diaries Supporting various dimensions of project administration, including development and organisation of research materials, liaison with advisory groups, participants, gatekeepers and
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to): biophysics, cold atom physics, electronic structure theory, hydrodynamics, machine learning, materials science, statistical physics, strongly correlated electrons, and quantum information. Theorists who wish
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the project leader in the research project - “Colour, Imaging and Metaverse Research Centre”. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree or an equivalent
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that ORISE does not review applications or select applicants; selections are made by the sponsoring agency identified on this opportunity. All application materials should be submitted via the “Apply” button
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, hydrodynamics, machine learning, materials science, statistical physics, strongly correlated electrons, and quantum information. Theorists who wish to be considered for sponsorship as a Klarman Fellowship
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Research Fellow (Nanomechanical Sensors;Quantum Mechanics & Sensors;Waveguide-based Quantum Devices)
Work on hands-on experiments for few of the following tasks: 1. Design and Fabrication of Quantum Sensors 2. Design and Fabrication of Nanomechanics for Quantum Applications 3. Design and Fabrication of Waveguide based quantum sensing 4. Design and Fabrication of NEMS Sensors 5. Testing and...
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We seek a Postdoctoral Associate with a PhD in Physics, Electrical Engineering, Materials Science, or a related field. The successful candidate will specialize in acoustic sensors, device
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administering of digital diaries - Supporting various dimensions of project administration, including development and organisation of research materials, liaison with advisory groups, participants, gatekeepers
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, transcriptomic, proteomic or imaging datasets would be advantageous. Application Please send the following materials to [email protected]: A curriculum vitae, including a publication list. A brief description of
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for candidates with backgrounds in areas such as: Computational materials design, including atomistic and electronic structure approaches AI for materials science, including interatomic potentials and generative