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for the detection of misinformation including AI methods and their application, user interface, and feedback systems, various programming languages (Java, C, C++, C#, Python, JavaScript), technologies in the area of
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an attractive salary according to the Collective Bargaining Agreement for University Staff (level A2) and an organisational retirement plan Application documents (in English): Letter of motivation Academic
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for University Staff (level A2) and an organisational retirement plan Application documents (in English): Letter of motivation Academic curriculum vitae education and training (PhD Certificate, PDF) positions
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Biocenter PhD Programme Experience with RNA sequencing data from complex tissues (ideally including nervous system) Experience with data analyses using chronobiological algorithms (e.g. RAIN, Metacycle) High
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of battery materials, at the interface of technical applications, resource management, and sustainability. You independently plan and carry out complex experiments, evaluate the data, and interpret the results
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Computing, led by Univ.-Prof. Dipl.-Ing. Dr. Siegfried Benkner, focuses on research in programming paradigms, languages, compilers and software infrastructures for scientific computing to support users in
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quantitative research and experience with statistical analysis software (e.g., R, Mplus, JASP). Excellent German and English language skills, both written and spoken. Proficiency in IT applications. Initial
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of students. The candidate is expected to teach courses at undergraduate level (English or German). The possibility to do a Habilitation is given. Your future tasks: Active participation in research, teaching
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-omics extraction techniques for various sample types. An understanding of the statistical principles behind current best practices in the field. Strong experience using programming languages such as R and
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on a topic relevant to the department, such as fertility and family, mortality and health, migration, or population analysis and human capital. The candidate should present a clear personal work plan for