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PhD fellowship in Experimental Quantum Computing PhD Fellowship in Semiconductor Spin Qubit Control and Quantum Error Correction NQCP, Niels Bohr Institute Faculty of SCIENCE University
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implement a hyperspectral imaging system tailored to bulk forensic trace analysis and develop chemometric and machine-learning models for material identification and classification. You will evaluate
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technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. The Department of Chemical and
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secondary concerns. From a marketing standpoint, these issues are especially important because trust, transparency, perceived intrusiveness, and perceived control strongly influence whether users accept
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statistical modeling with clinical insight, aiming to improve risk prediction and inform sex-specific prevention strategies in atrial fibrillation patients. The research will be conducted in close collaboration
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as a change in how firms codify knowledge: prompts, models, workflows, and governance routines make some expertise executable while creating new burdens of evaluation, maintenance, and revision
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), and absolute sustainability concepts such as planetary boundaries, net-zero, and regenerative performance. Experience with quantitative environmental modelling, LCA, or related methods is an advantage
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Experience with multi-physics simulation, reliability and lifetime modelling is considered an advantage Knowledge of manufacturing and integration processes such as metallization, bonding, PCB fabrication
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analysis in software such as R, Stata, Python or similar tools. You are comfortable working with datasets, developing statistical models and documenting your analytical choices. Experience with experimental
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) for their Master’s Thesis/final exam. Please visit the website of the Doctoral School for further information on admission requirements. For this PhD position, command of written and spoken Danish