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Master’s degree (or equivalent) in mathematics, computer science, physics, or related field. Sound knowledge in (scientific) machine learning, and knowledge in numerical analysis and numerical linear algebra
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) theoretical and practical experience in peptide chemistry, nucleic acid chemistry as well as knowledge of bioassays are beneficial Experience and knowledge in fluorescence spectroscopy/imaging is desired
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chemistry; an integrative and cooperative personality with high teamwork abilities; safe handling of inert gas techniques; knowledge of analytical methods for molecular chemistry; Microsoft Office and
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of transportation engineering, railway system engineering, civil engineering or related courses of study a working knowledge of industry-standard planning software a good command of German and English, both
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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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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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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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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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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