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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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important insights into clinically relevant aspects of cancer development and therapy Perform state-of-the-art in vivo experiments and large-scale drug and genetic screens Learn and apply a wide spectrum of
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The group language is English, so no German language skills are required – but it is a great opportunity for you to learn German! The historic city of Göttingen, located in the heart of Germany, offers great
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
or humanities (any field) Conscientiousness and attention to detail Basic computer skills (incl. Microsoft Office) English language skills, both written and spoken Availability to work on-site at our institute
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solutions and dual career options We provide support with various qualification and further training opportunities and use of the Haufe learning platform with numerous different online courses Application
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, company health management including support for child care solutions and dual career options We provide support with various qualification and further training opportunities and use of the Haufe learning
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research topics, including privacy enhancing technologies, privacy centric alternatives to existing tech platforms, the interplay of human-computer interfaces and security, and the theory and practice
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that provides equal opportunities. We are convinced that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim
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the neural basis of high-dimensional category learning in vision. The project investigates neural mechanisms of category learning at the level of circuits and single cells, utilizing electrophysiology
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performance and innovative potential in a broad spectrum of subjects. As an ambitious research university, we stand for research-based learning approaches and a pronounced interdisciplinary orientation. We