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and mechanical characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new
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, we focus on understanding the decision-making process of the developed ML tools and devising new strategies to bridge potential gaps between the astrophysical simulations and real observed data (using
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engineer or computer scientist to establish a robotic platform for autonomous experimentation in organoid culturing. You will work with life scientists to design, integrate, and establish the platform’s
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strong background in industry standard DevOps tasks and processes Preferred qualifications: Experience with hybrid cloud environments and integrating on-premise resources with cloud services Understanding
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and ability to work collaboratively in an interdisciplinary environment A strong background in industry standard DevOps tasks and processes <> <="" b=""> Experience with hybrid cloud environments and
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remunerated according to TV-L. The position can be filled in part-time Application Procedure: Please include a motivation letter, a curriculum vitae, and a list of references, including contact information in a
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literacy with at least basic programming skills (R, Python). Analytical mindset, with a keen interest in advancing proteomic methodologies Knowledge of cancer biology is an advantage We offer Cutting-edge