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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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well as technology-based, psychological assessment Good knowledge of item response theory Proficient use of statistical software (particularly R) Publication experience in English, peer-reviewed journals
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
experience with programming languages such as Python, R, or Julia and bioinformatics tools Familiarity with cloud computing and high-performance computing (HPC) environments Strong analytical and problem
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to the partner laboratories. Requirements: university and PhD degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills
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programming skills. Your tasks in detail: Supporting research work in the field of welding technology and data processing Application and support of welding simulation software (FE software) Participation in
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Completed scientific university degree in engineering or natural sciences, computer science, or a degree program that includes aspects of these disciplines, or at least 5 years of professional experience in
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of X-ray methods Knowledge of X-ray optics Knowledge of synchrotron science Knowledge of catalysis and energy storage Experience with programming languages (ideally Python), SPS controls system Fluent in
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
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-efficient learning, uncertainty estimation, 3D vision. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch