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in English – written and oral knowledge in the field of biomedical electronics/sensors is an advantage TUD strives to employ more women in academia and research. We therefore expressly encourage women
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-average university degree in psychology, human factors, or a related field good knowledge of methods and statistics, especially quantitative approaches strong interest in research good English skills
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/Diploma) in food chemistry, biochemistry, nutritional sciences or a related field sound knowledge and experience in the use of instrumental analytical methods such as HPLC-MS, GC-MS experience in
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well as how protein binding evolves. Experimental approaches will not be able to close this knowledge gap in structural information soon. Artificial intelligence (AI)-based approaches gain huge momentum in
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themselves with new subject areas. Both working independently and working in a team, e.g. during the measurement campaigns, is particularly demanding. Knowledge of programming languages such as Python is an
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(or equivalent) with excellent academic results in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, Physics, or a related field at the time of appointment Required knowledge
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of mobility dedication and enjoyment of independent work as well as the further development of your own skills team spirit and fair and open communication skills very good knowledge of German and English We
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experience in software engineering, with a sound understanding of key principles and best practices. Knowledge of the following areas is desirable: Experience and/or prior knowledge in one of the following
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: A qualifying university master’s degree in physics, engineering, meteorology, or a comparable field. Knowledge of fluid dynamics or nonlinear systems Experience in programming with Matlab or Python
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fundamental research; programming skills; good command of written and spoken English; basic knowledge of written and spoken German. For further questions, please contact Dr. Paolo Di Tella ( paolo.di_tella