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Field
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MAXYMUS and MYSTIIC at BESSY II, using state-of-the-art X-ray detectors and advanced reconstruction methods. You will develop software for experiment control, data acquisition and data analysis, and
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methods (e.g., variational autoencoders) applied to biomolecular dynamics data. ● Familiarity with elastic network modeling (ANM/GNM) or the ProDy software package. ● A track record of independent
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a postdoctoral researcher in the same or related subject area at MDU that exceeds one year. Applicants must be able to demonstrate knowledge and experience in: Simulation software for building and
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Spectroscopy (XANES/EXAFS), including data processing and spectral fitting. - Experience using XAS analysis software such as Athena, Artemis, Larch, or equivalent platforms. - Record of conducting independent
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scientific domains. Roles and responsibilities include, but not limited to, one or more of the following: Design and implement system software to enable AI-readiness for scientific data by developing adaptive
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laboratories. The broader goal is to enable AI-driven materials discovery, autonomous synthesis, and the development of high-quality, reusable datasets that support adaptive experimentation and long-term
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gestores de mapas y de análisis espacial/Demonstrated knowledge of CAD, SIG and other mapping and spatial analyses softwares. Experiencia en la elaboración de planes urbanísticos y de movilidad/ Experience
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. The project explores novel communication, sensing, and data-driven techniques to support safer and more adaptive interactions among heterogeneous road users. The research will be carried out under
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requirements Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands. Teamwork: Ability to work
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protocols, and adapt to changing priorities and work demands. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office