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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is seeking a PhD Candidate / Software Developer for Aerospace Knowledge Base (m/f/d
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The Quantitative Genetics research group is interested in developing statistical genomics toolboxes to decipher the genetic architecture of important crop traits, such as grain yield, adaptation
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independently in 10 beetle families, with a single transition to eusociality (the ambrosia beetle, Austroplatypus incompertus). The aim of this project is to uncover the detailed regulatory architecture
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innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
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to plan and execute experiments independently and flexibly Strong team spirit and communication skills Creative mindset and strong problem-solving capabilities Proficiency in commonly used office software
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command-line environments (including remote systems via SSH) and Windows interest in modern software engineering practices (testing, code review, modular design) fluency in English as working language What
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data analysis using software Experience in R and python is a plus but not mandatory Good presentation and writing skills Proactive, independent, and solution-oriented way of working Fluent English
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software as python packages Report findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
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quantum remote sensing of atoms in the MLT. The new, flexible dye laser systems require hands-on work in optics (spectroscopy, laser physics) and software development for lidar control. Data evaluation is