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? Join us at the 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
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engineering methods (e.g., via CRISPR). Plan and execute experiments to probe robustness of tissue morphogenesis, particularly through quantitative imaging and large-scale molecular profiling (e.g., via scRNA
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in the field of medical technology and pharmaceutical production. The aim is to develop control frameworks in the programming languages C, C++ or Rust in order to be able to operate them in a modular
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system analysis or comparable Initial experience in optimization or statistics is an advantage Initial experience of an object-oriented programming language (e.g. Python, Matlab) and MS Office Analytical
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opportunity to establish a cutting-edge research program with significant impacts in this field. We are particularly interested in candidates who can develop an innovative research agenda in areas such as
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” supported by the International Continental Scientific Drilling Program (ICDP) and aiming to study the icehouse–hothouse transition during the Permian (299–252 million years ago) and extreme continental
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program. You have knowledge in the field of process engineering, ideally in thermodynamics and reaction engineering. Experience with the simulation of chemical processes is an advantage but not essential
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to gain insights and evaluate the mobile app. What you bring to the table Ideally University studies in software engineering, computer science, or a related field. Sound programming skills, especially in
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with other research groups for chip applications, e.g. in physics, life sciences, materials sciences, medicine, and machine learning. Chip Design is also a focus of the Master′s program in Computer
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university preferably in the subject areas of computer vision, computer graphics, computer science, media informatics or creative technologies Good programming skills in C++, C# for support in algorithm