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BAM Bundesanstalt für Materialforschung und -prüfung | Berlin, Berlin | Germany | about 2 months ago
the development of numerical methods for modelling wave propagation and structural dynamics (e.g. FEM, semi-analytical methods) Experience in one or more of the following areas is desirable: wave propagation in
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the validation of industrial prototypes and process scaling, as well as carrying out cross-cutting technical tasks across various projects within the nanomedicine group, operating analytical instrumentation and
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for organic synthesis, - analytical characterization of synthesized compounds, - literature analysis, - preparing manuscripts and reports. We are an open and inclusive employer – we encourage applications from
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gracefully with time. Additionally, the potential of renewable energy sources to further extend the network lifetime will be investigated. The developed methods will be analytically characterized, optimized
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
models). Your tasks Development of analytical theories of biomolecular phase transitions, focusing on liquid-liquid phase separation. Development of numerical simulation tools, e.g., for process modeling
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of analytical and problem solving capacity Ability to communicate complex information with clarity Experience of presentations at conferences and/or in high quality publications Attributes and
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employ techniques from software architecture, distributed systems, data engineering, semantic interoperability, privacy-preserving data analytics, artificial intelligence or related fields. Your duties and
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parties, including academics and industry partners. They should also have good analytical skills, and a good command of English and Chinese. The appointee will work on a research project led by Professor C
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. Familiarity with energy markets and investment schemes. Personal skills: Ability to work independently and take initiative. Interest in collaborative, interdisciplinary research environments. Strong analytical
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GE rice plants, artificial intelligence (AI)-driven high-throughput phenotyping and multi-omic analytics and soil microbiome monitoring. The PhD project is embedded within the BIOCRAFT project