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and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and social network analysis. Machine learning with
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Biophysical Chemistry. Successful candidates will join a structured doctoral programme offering first-class supervision, vibrant research networks, and opportunities to publish, teach, and engage
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research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and
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that addresses major socio-economic and political themes in the history of the Ottoman Balkans, including but not limited to historical population geography, land tenure and property regimes, structures of power
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of Europe.Successful candidates will join a structured doctoral programme offering first-class supervision, vibrant research networks, and opportunities to publish, teach, and engage internationally.Candidates can
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in the heart of Europe. Successful candidates will join a structured doctoral programme offering first-class supervision, vibrant research networks, and opportunities to publish, teach, and engage
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pursuing doctoral research in one of the 50 research teams in the Faculty of Physics. Successful candidates will join a structured doctoral programme offering first-class supervision, vibrant research
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with the chemistry of (poly)amines and alkaloid-like structures, as well as macrocyclizations. Experience with hydroamination and hydroaminoalkylation, both under metal catalysis and metal-free
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operation, or manufacturing environments. Familiarity with process modelling tools (e.g., Aspen Plus, gPROMS, Matlab) is an advantage. Understanding of green chemistry and sustainability metrics. Structured
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23 Feb 2026 Job Information Organisation/Company Universität Wien Research Field Chemistry » Structural chemistry Chemistry » Inorganic chemistry Chemistry » Physical chemistry Researcher Profile