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are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities Develop machine learning methods and tools with a
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with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from
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particular in quantum phase-space methods. You have a proven experience in numerical methods and programming, particularly the simulation of PDEs. Excellent written and spoken English. What we offer: Work-life
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agreement This may also involve direct supervision of students and student projects Specific topics and methods can be flexible to suit the candidate’s interests and strengths In addition to these tasks, as
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-haves: Completed Master's/Diploma degree in the field of biology First practice in scientific writing and with molecular-genetic research methods Didactic skills / experience in e-learning Strong IT user