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for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position
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diagnostic components Perform pre-commissioning and testing of the chamber as a standalone system before integration with an accelerator beamline Contribute to documentation, safety analyses, and operational
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and or pushing the performance frontier toward 30 keV. However, the FEL output critically depends on the quality of the electron bunches. Producing low-emittance beams through advanced spatial and
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persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the
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, quantitative readouts, define performance metrics, and validate results experimentally, helping convert laboratory scale prototypes into a compact, portable system. Your Profile: The successful applicant must
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-resolution science and answer the fundamental questions of how life’s "stress tests" rewire our biology, we invite you to help us shape the future of regenerative medicine. Your tasks: Designing and performing
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The University Hospital Bonn (UKB) is one of Germany’s leading university hospitals, combining top-level performance in medicine and research with excellence in teaching. Each year, more than half a
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using R and/or Stata) Experience in planning and performance of scientific studies Experience in publishing results in international journals Experience in obtaining external funds is beneficial Very good
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otherwise essentially equal suitability, ability and professional performance. Your Application: We are looking forward to receiving your comprehensive online application , including your letter of motivation
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training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and familiarity with machine learning