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. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
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safe machine learning and its certification, and implementation of regulation frameworks like the EU AI Act, General Data Protection Regulation (GDPR) and the Medical Devices Regulation (MDR) Very good
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associated with the project “Communicating Causal Information”, which is funded by the German Research Foundation (DFG) and is executed in a Germany-UK collaboration with Principal Investigators Prof. Dr
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of psychology, empirical educational research, data science, education sciences, cognitive science, or related disciplines who is eager to engage deeply with topics related to learning, motivation and development
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to equal opportunities and diversity. It therefore takes individual situations into account and asks for relevant information. The employment will be handled by the central administration of the University
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. For further information or to submit your application please contact Prof. Nicholas Conard, PhD: nicholas.conardspam prevention@uni-tuebingen.de , and Dr. Samantha Brown: samantha.brownspam prevention@uni