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for delving into the intricate workings of the brain or spin- and charge-dynamics at the molecular scale? The section for quantum physics and information technology (QPIT) at the Department of Physics
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an outstanding PhD candidate in the field of computational electrocatalysis. The PhD project aims to use state-of-the-art quantum simulation techniques, Density-Functional-Theory (DFT), Ab Initio Molecular
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with DTU Biosustain on protein expression using bacterial hosts. The candidate should have a strong knowledge of molecular biology, bacterial physiology, and biochemistry. Candidates with experience with
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-established atomistic simulations suites as the Vienna ab-initio simulation package (VASP), the Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS), and the Polarizable Ion Model (PIM) code
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at the electrocatalytic interface under a magnetic field. The candidate will use AI-accelerated atomic-scale simulations, mainly in the framework of density functional theory, ab-initio molecular dynamics, and machine
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or transcriptomics (bulk/single-cell) Strong background in molecular/cellular biology Experience with analyzing large and complex datasets You must have a two-year master's degree (120 ECTS points) or a similar degree
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tools (webserver/package) Experience with machine learning Strong background in molecular/cellular biology Experience with analyzing large and complex datasets You must have a two-year master's degree
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in a highly supportive and collaborative team that in addition to the supervisor includes postdocs and young faculty members with advanced skills and experience in bioinformatics, molecular biology
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, the section has a large project portfolio and currently employs 27 people with a background in molecular biology, immunology/vaccinology, diagnostics, virology, bacteriology, epidemiology and laboratory