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- University of Vienna
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of numerical analysis for Partial Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing a crucial
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lignocellulose-specific NMR spectroscopy (solution, gel and solid-state) and corresponding method development. In parallel, the position will address lignocellulose chemistry, in particular organic synthesis
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to the above requirements • Strong background in optimization and partial differential equations • Strong background in numerical mathematics and computing • Machine learning skills are welcome • English skills
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- 22:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jun 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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environment where your skills and expertise can be applied to solving complex healthcare challenges. We enable researchers to develop cutting-edge technologies, computational models and analytical methods
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funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description RESEARCH ASSIStant / Pre Doc Division
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in qualitative (and, optionally, quantitative) empirical methods of the social sciences; • Excellent at expressing yourself orally and in writing; • Experienced in prolific didactics; • Able
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studies, and a genuine passion for interdisciplinary social science research; A robust conceptual and methodological foundation in the social sciences, with a solid skills in qualitative methods; Excellent
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the climatic record and consider the role of novel technological developments in tracking the dispersal of humans into the Old World. The latest dating methods will also be used to build chronologies from
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• Experience in RNA biology, CRISPR-Cas genome editing, and analysis of proteomics, RNA/DNA sequencing datasets is highly desired • Proactive and eager to learn new methods and topics • Strong