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the application process. Please submit your application in English no later than 15th August 2025 under the following link Online application As soon as the selection procedure has finished, all application papers
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, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping Highly motivated to work on the subject and eager to work in an
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theory and practice; research experiences in living labs will be an advantage Knowledge of systemic agroecology and agroecological transformation processes Experience in qualitative research methods
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and processes. Our competence center for “Monitoring and Artificial Intelligence” researches and develops innovative AI and monitoring methods across numerous fields of energy infrastructures and
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with
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literacy with at least basic programming skills (R, Python). Analytical mindset, with a keen interest in advancing proteomic methodologies Knowledge of cancer biology is an advantage We offer Cutting-edge
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. If you have any questions regarding the application process, please reach out to Sabina Leonelli via sabinaleonelli@gmail.com or desantila.hysa@tum.de. TUM is an equal opportunity employer and explicitly
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-related administrative processes, including procurement, acquisitions, and different types of contracts in compliance with university and funding regulations Your profile: A completed doctoral degree Some
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are: Requirements definition, survey and documentation Processing of research projects Conception of digital systems and services Developing suitable participation formats together with external partners Designing
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acknowledge that FU Berlin saves and processes your data. FU Berlin cannot guarantee the security of your personal data if you send your application over an unencrypted connection.