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strong background in organic extraction, liquid chromatography, and mass spectrometry. Experience with analytical instrumentation (LC-MS and TGA-MS) and good knowledge of colloid chemistry are desirable. A
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the chance to obtain further academic qualification (usually PhD). Tasks: The evaluation of potential final repositories for radioactive waste requires precise knowledge of the sorption and diffusion
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Solid knowledge of molecular biological methods Experience in executing large-scale evolution experiments Sound knowledge of ecological and evolutionary theories and concepts Practical experience in
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Experience in experimental work and instrumental analytics Knowledge of elemental and colloid analytics as well as microscopy is an advantage Readiness to handle open radioactive materials in a radiation
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chemistry, physics, or a related field, completed before the start of employment. A sound knowledge of simulation methods and actinide chemistry is required. Application deadline: January 9, 2026 To apply
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-domain context. Good knowledge of programming languages (e.g. Python, R, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning
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Description Universität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange
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or related field Good knowledge of mineral processing and statistics Familiarity with soft‑sensor concepts and data‑driven process monitoring Understanding of ore microstructures, particle characterization
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. Your profile: Completed Master’s degree or diploma (with excellent to good results) in Computer Science, Software Engineering, Information Systems, or a related field. Strong knowledge of software
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methods Good knowledge of object orientation and at least basic knowledge of UML Knowledge of minimum one programming language (e.g. C++, Python, Java) Experience with the Robot Operating System (ROS) Good