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to integrate various structural biology data (NMR, SAXS, FRET, EPR) as well as computational models and simulations to create and interpret conformational ensembles of disordered protein regions, with the goal
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digital co-simulation platforms (e.g., Modelica-Python/Simulink) Applying machine learning and data-driven approaches to enhance the operation of district heating substations Participating in course
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research and development projects). The candidate will implement a simulation framework to explore different configurations of management practices to reduce the impact of agricultural systems
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languages. Please always include a copy of original diploma/certificates. We only accept files in pdf-format no more than 10 MB per file. In case you have more than one file per field you need to combine
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Research Assistants, Postdocs, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems integration
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Research Assistants, Postdocs, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems integration
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research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems
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research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems
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publications stating the scientific publications on which the applicant wishes to rely Copy of PhD diploma - if PhD diploma has not yet been received, please include statement from your supervisor A motivation
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Curriculum vitae Master’s degree and PhD degree or equivalent (copy of original + verified English translation) A complete list of publications Reference letters/references may also be included A statement of