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available in the further tabs (e.g. “Application requirements”). Programme Description In line with its statutes, the Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation) supports
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psychophysics • Experience with a high-level programming language such as MATLAB or Python • Excellent English communication skills and a collaborative mindset • German language skills are not required but
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languages. Part-time employment as well as remote work (mobile work, work from home) can be arranged upon request. We support employees with balancing work and family life , through services such as back
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, Comparative Literature, American Studies, English Studies or German Studies and you have a suitable project idea, please apply by May 1, 2025! For more information on the research program, the respective
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administrative matters, accommodation, and visas are part of the program. There are no tuition fees. The program language is English. We invite applications from highly qualified and motivated students of any
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the chance to obtain further academic qualification (usually PhD). Tasks: This research project funded by the German Science Foundation within the Priority Programme “Productive Biofilm Systems” aims at, in
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programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
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programming skills in one or more languages (Matlab, Python, R, C, Fortran) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability and willingness
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Experience with FACS, immune cell culture, molecular biology techniques and bioinformatics is advantageous Strong communication skills and fluency in English (spoken and written). Benefits: Fully funded PhD
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yourself quickly with new concepts. Enjoyment of scientific work. Very good/good programming skills (at least in Python and C++). Good written and spoken German (at least C1 level) and English. In-depth