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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
- Participate in teaching at the Department of Psychology at the University of Tübingen (2 hours per week each semester). Your Profile: - Outstanding Ph.D. in educational psychology, empirical educational
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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend
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on nanostructured materials can be established, paving the way for the rational design of novel catalytic materials. Project: Probing the structure of advanced materials for electrocatalysis using synchrotron
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Ihnen wird eine rege Beteiligung am wissenschaftlichen Austausch in Form von Veröffentlichungen und Konferenzbeiträgen erwartet. Dieser Austausch steht im Zukunftslabor im Vordergrund, eine kollegiale und
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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team with whom you can design the next-level EV? Become part of our Electric Vehicle Lab at the Institute of Automotive Technology and actively shape the future of mobility! About us The Electric Vehicle
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this knowledge, develop them as minimally invasive neural devices. Specifically, we aim to develop a toolbox of nanomaterials to study and learn from, looking at e.g. how nanoelectrode size and shape affects
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qualifications. Contact International candidates are highly encouraged to apply. Please submit your complete application (in English or German) via our application form: https://wiki.tum.de/display/cpsforms/Ph.D
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method (support and mentorship will of course be provided). We Offer A new lab in which you can contribute to shape the lab culture from the beginning. Opportunity to follow your own research interests, as
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oral presentations at national and international conferences Your profile PhD in Ecology or a related field Solid background in (macro-) ecology and biodiversity research. Solid background in zoology