36 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at University of Copenhagen
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enable the development of fault-tolerant quantum computing hardware and quantum algorithms that solve life-science-relevant chemical and biological problems. Within NQCP we are currently pursuing several
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to contribute to developing scalable processors for fault tolerant quantum computing at NQCP. Role description You will be part of a thriving and multi-cultural quantum eco-system at the Niels Bohr Institute
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the Department of Immunology and Microbiology, Faculty of Health and Medical Sciences. This role involves developing and applying advanced bioinformatics algorithms to investigate the functional diversity
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interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life
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December 2023, has a unique mission to harness airway immunity through innovative vaccine research and development to prevent airborne epidemics. The aim of the Novo Nordisk Foundation Initiative
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interplay of DNA repair and 3D chromatin organization, and to understand how dysregulation of 3D chromatin organization leads to genome instability and cancer. We develop and apply cutting-edge super
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computer science typically focuses on stylized problems and fails to address the unique characteristics of biological applications. To bridge this gap, this PhD project will develop principled, rigorous, and domain
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/ Planet Formation and Evolution Physics / quantum information/computation , Scattering amplitudes , Quantum Gravity, Cosmology, Condsend matter theory and Quantum Information Theory , Gravitational Physics
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setting. Conduct process simulations using tools such as Aspen Plus, COMSOL, or equivalent software to predict system performance. Collaborate with engineering companies to develop a prototype carbon
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Associate Professor Thor Grünbaum. The larger project develops and tests a new theory of basic cognitive selection mechanisms by combining methods and perspectives from experimental psychology, cognitive