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. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In
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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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defects of smectic-liquid crystal order in developing cross-striated muscle, or use machine-learning to expand existing custom-built image analysis pipelines (Python, Matlab). To learn more about this
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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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chemistry, theoretical chemistry, molecular dynamics, data science, and machine learning are beneficial. What we offer: We offer a position with a competitive salary in one of Germany’s most attractive
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research experience academic publication record willingness to learn German For further questions please contact Dr. Marc Buckley ( marc.buckley at hereon.de ). We offer you an exciting and varied job in a
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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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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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to learn and has a strong interest in research. Experience in the design, operation, or maintenance of membrane filtration systems (of any scale) is a definite advantage, as well as experimental problem
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Engineering, or equivalent, and is a naturally curious person who is eager to learn more and has a strong interest in research. Experience with membrane filtration and electrochemical systems (of any scale) is