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Field
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: excellent mathematical and analytical skills; strong programming experience in C++ and Python; experience with ROS or related robotic software frameworks; the ability to conduct high-quality independent
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, algorithms, data pipelines, and research software prototypes contribute to optimisation, simulation, sampling, or uncertainty-modelling approaches for complex systems analyse infrastructure, spatial, temporal
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publication is advantageous. They should have a good command of written and spoken Chinese (fluency in Cantonese is required) and English, advanced knowledge and experience with statistical software (e.g., SPSS
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Tremblay en France, le de France | France | about 2 months ago
contact # Performing your own experiments at ROBL at XRD and XES stations # Analyzing experimental data with quantum mechanical software, with particular focus to calculations using Quanty, ORCA, FDMNES
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will have reinforced and extended their understanding of cutting-edge data transformation, knowledge graph techniques, the research process itself across disciplines, and software engineering techniques
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software or computation time). Important Dates and How to Apply The application deadline is on October 1, 2026. Please note that our review process may take several weeks. Applicants will be contacted
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. Knowledge of the ISO/SAE 21434 standard for automotive cybersecurity engineering. Experience with the AUTOSAR standard and associated automotive software architectures. Demonstrated experience in
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methodological needs of microbiome scientists. Software, outreach and training complement their research mission. The StatDivLab is seeking a Postdoctoral Scholar with PhD-level training and research experience in
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motivated and independent researcher with a strong interest in artificial intelligence, computational materials science, and scientific software development. Mandatory qualifications A doctoral degree in
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. Experience with statistical and bioinformatics software, including R, SAS, sequence analysis tools, and genomic data analysis methods. Experience developing Excel macros and using database management systems