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Field
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environment with chemists, electronic engineers, and domain scientists. Main Tasks and responsibilities: Develop the MMPI-BO (Multimodal Physics-Informed Bayesian Optimization) optimization engine. Implement
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computing, control theory, computer vision, or numerical simulations. Experience with Python-based scientific programming Excellent problem-solving skills, Ability to work collaboratively in a
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, and discrimination-free environment, where equality is a key pillar. We value diversity, including LGTBI, and are committed to equal opportunities based on talent and ability, under the principles
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to understand the ultrafast energy and electron transfer dynamics in natural and artificial photosynthetic complexes, with a focus on the presence and role of quantum coherent effects. Responsibilities
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passion for advancing electronic and spintronic technologies and a readiness to work in an international research environment. Summary of conditions: Full time work (37,5h/week) Contract Length: Temporary
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experience with DFT codes will be very highly valued. • Knowledge of chemical reactions and how to model them through computer simulations is highly valued. • Knowledge of classical molecular dynamics
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broad experience in the development of electronic structure methods and their application in order to perform atomistic simulations of molecules and materials. These include (but are not restricted
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their structural and optical characterization by using atomic force microscopy (AFM), scanning electron microscopy (SEM), x-ray diffraction (XRD), and photoluminescence spectroscopy (PL). The research will be
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of strongly-correlated materials, quantum magnets, and might hold the key of high-temperature superconductivity. Investigating its low-temperature many-body phases is extremely challenging using classical
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the recruitment of participants for the project. -Collects data from different sources, organizes and analyzes them using appropriate statistical or computer tools. -Attendance at meetings of the European