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energy transition, and defense economics, among others. In this role, you will work closely with advanced Ph.D. students and postdoctoral scholars from the Next-Geo program to assist them with
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. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image
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related discipline, is required. Basic knowledge and initial experience with experimental working methods (e.g. spectroscopy, laser physics) Fundamental programming skills and expertise, e.g., Python, Julia
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the
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in a state-of-the art, international research environment with excellent technical facilities Structured training within the LIV Graduate School, an interdisciplinary PhD program for all doctoral
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, Bioinformatics or related fields with an interest in biology or Biological sciences with a strong background in programming Expertise and experience in programming, Python or R Expertise to work in a Linux
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an interdisciplinary consortium studying the “GEvol: Genomic Basis of Evolutionary Innovations (GEvol)” (Priority Programme, SPP 2349 funded by German Science Foundation (DFG)). We are recruiting a highly motivated
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, magnetic fields) and programming skills (e.g. Python) are desirable. Remuneration is based on the TV-L (EG 13, 26 h/week). The contract is limited to 3 years, which is the project duration, set by the German
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the teaching program of the Institute of Physics. Our network includes the research community worldwide. As an institute of the Leibniz Association, we distinguish ourselves as a modern and innovative employer