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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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infrared spectroscopies). Furthermore, the data obtained provides ideal grounds for new multivariate techniques to be developed as well as it allows efficient data collection on unique and rare samples
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2021; Khoshkhoo et al. JAMA Neurology 2023; Farrell et al. Nature 2024; Bizzotto et al. PNAS 2025; Khoshkhoo et al. bioRxiv 2026. For more information, please check our websites at https
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development Strong analytical skills and experience in fragment ion interpretation and data curation Ability to work independently and drive complex experimental projects Desirable Qualifications Experience
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Experience in mathematical modelling, statistical inference, simulation studies, and data analysis Expert knowledge in relevant programming languages (e.g. R, Python, Julia, C++) Analytical and structured way
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. Further information can be accessed by visiting our webpage at www.csbdresden.de Fellows have full access to state-of-the-art research facilities and infrastructure on the campus. Dresden is a vivid and
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-scale text and structured biomedical data; Strong quantitative and analytical skills applied to observational or clinical datasets, and familiarity with techniques for representation learning and sequence
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capable of breakthroughs. The research will mix state of the art numerical skills with analytic understanding. Your task is to predict new classes of materials that have not been considered before, beyond
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engineering, analytical chemistry, and computational methods for analyzing sequence information and molecular structures is required to perform research tasks A background in food science or food technology is
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at the Institute of Analytical Chemistry, in Prof. Köllenspergers group, at the Faculty of Chemistry. The succesful candidate will work with interdisciplinary teams (analytical chemists, clinical, biostatistics and