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of research results or willingness to acquire such experience willingness to conduct a research stay for several month at another institute very good knowledge of MS Office, including Word, Excel and PowerPoint
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of computational approaches to large scale simulations Basic knowledge of (geo)chemical processes and machine learning will be of advantage Expertise in Machine Learning approaches, ideally beyond neural networks
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reliable, conscientious, and structured work, commitment, initiative, teamwork skills, scientific curiosity, and willingness to learn willingness to be mobile (especially with regard to the required
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-Datei] . Please direct any questions in connection with the application process to bewerbung at bfr.bund.de . (Please do not send applications to this e-mail address) If you are unable to apply online
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the application process to bewerbung at bfr.bund.de . (Please do not send applications to this e-mail address) If you are unable to apply online, please send your application by post to: Bundesinstitut für
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direct any questions in connection with the application process to bewerbung at bfr.bund.de . (Please do not send applications to this e-mail address) If you are unable to apply online, please send your
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range of methods, including survey psychology, response-time paradigms, process-tracking techniques (mouse-tracking, eye-tracking), and incentive-based behavioral paradigms and experience in (learning
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– but it is a great opportunity for you to learn German! The historic city of Göttingen, located in the heart of Germany, offers great outdoors and cultural opportunities, a vibrant student scene, and an
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results or willingness to acquire such experience very good knowledge of MS Office, including Word, Excel and PowerPoint very good written and spoken English skills self-motivated, independent and
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, Mechanical Engineering, Electrical/Computer Engineering, Physics, or a related field at the time of appointment Required knowledge Excellent knowledge of aeronautical or spaceflight mechanics Excellent