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chemistry, physics, materials science, or a related discipline Experience in practical lab work Theoretical knowledge of electrochemistry and electrochemical techniques is advantageous Strong analytical
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integration of e.g. proteomics, lipidomics, or metabolomics data Requirements: Candidates must hold a master’s degree in Data Engineering, Data Science, Bioinformatics, Informatics, or a related discipline
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of Bachelor and Master theses Your Qualifications Excellent Master’s degree in Information Systems, Computer Science, or a similar field Experience in Software Engineering Theoretical knowledge or practical
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Professorship - Programme Information (PDF, 123 KB) Recently selected Humboldt Professors Our Alexander von Humboldt Professors for AI WANTED: Alexander von Humboldt Professors (female) The Alexander von Humboldt
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ideas in the fields of electrical engineering, technology, computer science and natural sciences - whether fresh out of training, university, with a PhD project or with valuable professional experience
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. Contact Prof. Holger Boche, Technical University of Munich, School of Computation, Information and Technology, Chair of Theoretical Information Technology, Theresienstrasse 90, 80333 Munich. https
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employment, a different field of study can be suitable for joining us. If you are currently enrolled in a bachelor’s or master’s degree program in Engineering or Natural Sciences, that is a particularly good
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field of study can also be suitable for joining us. If you are currently enrolled in a bachelor’s or master’s degree program in Meteorology, Physics, Oceanography, Mathematics, or IT, that is a
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, are strong partners, who will provide data science theoretical support and ethical guidance to AI4EO. YOUR MISSION The highly visible position of the Lab with its internationality and the close connection