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atmospheric pollution by space emissions. On the regional level, we closely cooperate with the University of Rostock and are an integral part of the teaching program of the Institute of Physics. Further, we
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rats. The communication language of the lab is English. The group interacts tightly with the Research Group Cognitive Neurophysiology (PI M. Yoshida; in-vitro/in vivo electrophysiology & computational
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(FIJI/ImageJ etc.) Ability to work independently and to supervise interns and undergraduates Excellent English (in speaking and writing) and computer skills, knowledge of German is a bonus, but not
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intelligence modelling methods and deep learning techniques can also be used in both areas. Your qualifications: Master's degree/diploma/doctorate in computer science, mathematics, physics, engineering, or a
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of socioeconomics, marine ecology, physical oceanography and biogeochemistry with Earth system modeling. The overarching goal is to better understand and predict the impacts of global change on tropical coasts and to
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CRC RESIST Phase II program, creating a superb scientific network. RESIST is coordinated by the University of Duisburg-Essen with the participation of the Ruhr-University of Bochum, Christian-Albrechts
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offers a lively, international research environment with well-equipped laboratories and computational facilities. The DSMZ strives to increase the proportion of female scientists and encourage female
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at the junction of political science and computer science First publications at the international level Good command of spoken and written Chinese, experience in analyzing relevant documents Very good command
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questions, please contact the Head of Department (adam.grundhoff@leibniz-liv.de). If you have any questions about the application process, please contact our HR department (jobs(at)leibniz-liv.de ). Would you
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(stephanie.stanelle-bertram(at)leibniz-liv.de ). Our Human Resources department will be happy to answer any questions you may have about the application process (jobs(at)leibniz-liv.de ). Would you like to shape