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of suitable process parameters for PBF techniques, and the comprehensive analysis and testing of the fabricated materials. Key responsibilities include: scientific work on the project topics, including support
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scientific questions Proficient use of scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab) Basic knowledge of scientific data analysis and statistical evaluation Good knowledge of MS
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the application of molecular biological methods experience in the statistical analysis of research results or willingness to acquire such experience very good knowledge of MS Office, including Word, Excel and
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challenges of our time and conduct research into the possibilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 7,600 employees in one
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perform a risk analysis of the resulting model outputs Present your scientific results at conferences, workshops, and seminars, and publish the work in peer‑reviewed journals Collaborate with project
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of Coherent (optical) Transition Radiation involved in measuring electron bunches from laser wakefield acceleration (LWFA) Implement physical forward functions in a differentiable form using pyTorch (e.g. COTR
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together with mentoring programs, soft-skills seminars, travel funding for conferences and research stays, language courses, and an extensive and welcoming support system facilitated by the BMS office and
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Description We have an open fully funded PhD position for 3 years with the possibility of extension. The successful candidate will be part of a growing team in the Institute of Biochemistry, group
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software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new code via
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field • Is fluent in English • Is interested in finding innovative, creative solutions • Has good programming/data analysis skills • Is experienced or at least strongly interested in one