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Field
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about research What you can expect Gain valuable practical experience during your dissertation in exciting research projects with us We focus on innovative ideas and design novel solutions. Support us
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and have experimental experience in cell/tissue culture, microfluidics, or a related discipline. In addition, you can express yourself confidently both orally and in writing in English. What we offer We
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you wish to conduct research in privacy-preserving machine learning in particular and why and to what extent you feel you are qualified for the position. Applications which do not fulfil
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modelling • A high fascination for technical/scientific problems of theoretical and numerical research • Experience in the field of numerical time-accurate flow simulation, preferably turbomachinery • Ability
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or comparable degree in physics, biology, bioengineering, material engineering or a related discipline. You have experimental experience in cell/tissue culture, microfluidics, or a related discipline. You enjoy
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or comparable degree in biology, physics or a related discipline. You have experience in quantitative biology, experimental soft matter, or experimental biophysics. You enjoy working in interdisciplinary and
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knowledge and practical experience with Software Engineering in general and your desired field of specialization in particular Motivation to build innovative solutions involving industrial partners Strong
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, Computational Linguistics, Data Science or a similar field Good theoretical knowledge and practical experience with Natural Language Processing (rule-based and/or machine learning) Software Engineering Motivation
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transduction mechanisms at the protein and membrane level. Experimental systems will include 2D cell culture, organoid models, and advanced biophysical assays (e.g., high-throughput atomic force microscopy
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Degree PhD in Experimental Medicine Possibility to receive the double academic degree of MD/PhD Course location Tübingen Teaching language English Languages Courses are held in English (100%). Full