47 coding-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "L2CM" uni jobs at Technical University of Munich
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. Kontakt: zhulab@lrg.tum.de More Information https://www.asg.ed.tum.de/sipeo/home/
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)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: zhulab@lrg.tum.de More Information https://www.asg.ed.tum.de/sipeo/home/
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, regardless of nationality, gender, or background. Note: The recruitment process will adhere strictly to the European Charter for Researchers principles and the Code of Conduct for the Recruitment
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will need strong coding skills (preferably Python, but also other software and hardware description languages) as well as experience with Machine Learning Frameworks (such as TensorFlow, PyTorch, Stable
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, Electrical Engineering, or a similar subject. Most importantly, you should be creative, passionate about research, driven by curiosity, and able to think outside of the box. You will need strong coding skills
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coding skills to design highly efficient algorithms. A focus in fabrication, and ideally interest (or even first lab experiences) in microfluidics is obviously a big advantage. Join our Team While we
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creative, passionate about research, driven by curiosity, and be able to think outside-of-the-box. You will need strong coding skills to design highly efficient algorithms. A focus in bio-chemistry or