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for specific textile functionalities (antibiofilm, repellence, adhesion). Characterize the deposited materials using various surface analytical techniques (e.g., XPS, SEM, etc.). Evaluate the performance
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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workflows and analytical strategies Collaborating with national and international partners Contributing to high-impact publications and research grant development The position offers the opportunity
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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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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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optimization strategies. Strong hands-on experience with experimental laboratory research and process development. Proven competence in analytical and characterization techniques such as NMR, Raman spectroscopy
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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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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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and analytical skills Fluency of either English or French is required We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries