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/ PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting January 1, 2026. The position is initially limited for three years, with
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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
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Time Span 01 Apr 2026 for 4 years Application Deadline 15 Dec 2025 Areas of study Development Co-operation, International Relations, Political Science, Developmental Psychology, Clinical Psychology, Psychology, Social Psychology, Business, Occupational, and Organisational Psychology,...
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Associate / PhD Student (m/f/x) Ultrafast detection of THz-controlled light emitters in quantum matter (subject to personal qualification employees are remunerated according to salary group E 13 TV-L
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international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities
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to mastering the great challenges facing society today. The Institute of Resource Ecology performs research to protect humans and the environment from hazards caused by pollutants resulting from technical
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to mastering the great challenges facing society today. The Institute of Resource Ecology performs research to protect humans and the environment from hazards caused by pollutants resulting from technical
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environment at the interface of physics and biology. Our goal is to understand biological function and the role of condensates in disease by applying physical principles such as phase transitions and collective
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. We are seeking two motivated PhD candidates to develop a novel multi-scale
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to obtain further academic qualification (usually PhD). Tasks: scientific research and development activities in research data management (RDM) with a focus on AI- and machine learning-based methods