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skills and experience and interest in data analysis, data science, machine learning and process automation would be an advantage. Previous experience with XAS or other synchrotron-based techniques would be
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environment flexible working hours – mobile working options – assistance with child care and care for family members („audit berufundfamilie“) – employee ID card with free admission to the Senckenberg museums
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Your Job: You will develop impactful machine learning techniques to deal with complex quantum states. Possible research directions and tasks include: Method development to advance neural quantum
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for physics and materials science applications scenarios as well as for related research data management tasks Developing LLM-driven agents that integrate domain knowledge to support structured chain-of-thought
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-projects of the research group: Sub-project F "Management and quantification of maturity improvement" : Investigation and development of mathematical methods which allow to quantitatively and meaningfully
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: Design, management, and implementation of independent research projects related to one of the research focuses of the professorship (primarily political sociology, social movement studies, environmental
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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creative solutions for complex chemical and process engineering problem. Dehydrogenation processes: Construction of a test stand for the dehydrogenation of diol-based carrier molecules Explorative research
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of science, technology and administration as well as for the education of highly qualified young scientists. Over the recent years, DESY has also become an international hotspot for cutting-edge laser science
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science