16 computational-physics-superconductor PhD positions at University of Copenhagen in Denmark
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Physics / theory Starting Date: 2025/10/01 Appl Deadline: 2025/08/01 11:59PM (posted 2025/06/05, listed until 2025/09/01) Position Description: Apply Position Description The Villum Investigator Group
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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) is establishing a talented and diverse international team to create a cutting-edge quantum programme in the heart of Copenhagen
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collaboration, as part of the employment process at the University of Copenhagen. Notice: In the following description of the PhD programmes, some references are made to SCIENCE websites The PhD programme
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The Department of Chemistry invites applicants for a PhD fellowship in computational homogenous catalyst discovery. Start date is 1.9.2025 or as soon as possible thereafter. The project The project
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for the integrated scholarship, you are (or are eligible to be) enrolled at the faculty’s master programme in Physics. Students on the integrated programme will enroll as PhD students simultaneously with completing
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. The PhD programme A three year full-time study within the framework of the regular PhD programme (5+3 scheme), if you already have an education equivalent to a relevant Danish master’s degree
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microenvironments, molecular biology, and with experience in, or interest in learning, basic computational biology methods. Candidates must be able to perform as part of a team as well as independently, and must have
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The PhD programme is a three year full-time study within the framework of the regular PhD programme (5+3 scheme), if you already have an education equivalent to a relevant Danish master’s degree
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of histone H3/H4 tetramers between leading and lagging strands to preserve the epigenetic inheritance of histone modifications (Cell 187:5029-5047, 2024). The advertised project will focus on physical and
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The Rasmussen Group focuses on development and application of computational algorithms such as machine and deep learning for analysis and integration of multi-omics and multi-modal data within cardiometabolic