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, geoinformatics, Data Science (Natural Language Processing), computational linguistics, taxonomy (especially entomology), or ecology with strong data skills Experience with text mining of scientific and historical
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effect on assembly and collaborate to quantify the effect on optical properties. Our goal is to self-assemble NPLs into 1D, 2D and 3D superstructures and understand how ligand shells affect the process
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any specific questions about the position, kindly contact Prof. Dr. Marco Thines at marco.thines(at)senckenberg.de For data protection information on the processing of personal data as part of
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specifically encourages women to apply. For questions regarding the position, please contact Dr. Wiebke Szymczak Email: Wiebke.Szymczak(at)iwh-halle.de Phone: +49 345 7753 862 Application procedure Please apply
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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stochastic differential equations based on the path signature of the driving process. We are looking for: The applicant should hold a completed PhD in Mathematics or nearby field (at the starting date