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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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economics Knowledge and/ or experience in one (or more) of the following areas (desirable) - Net-zero transformation - Energy economics - Hard-to-abate industries - Institutional economics or industrial
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:00 (UTC) Country Austria Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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understanding of power electronics hardware, software and control concepts with a focus on mobile applications (EV, ship, aerospace) Recognised expertise in a relevant scientific field, demonstrated through
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expanding research portfolio. What makes our group special: Strong international reputation and extensive collaborative network Access to advanced spectroscopy and nanofabrication facilities Culture
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. • Experience with industry-standard simulation software (e.g., COMSOL, WUFI, EnergyPlus) and the ability to work with complex, real-world datasets. • Strong quantitative skills, including proficiency in
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international tax community. The Institute offers a unique academic platform for significant, innovative, and inspiring tax-related research. Building your own personal network: You will have the opportunity
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experience (e.g. student assistant post) • Preferably demonstrable experience in academic writing for publication (e.g. first or co-authored peer reviewed papers) • Well-developed statistical software skills
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-authored peer reviewed papers) • Well-developed statistical software skills (preferably in R, Python, GIS) • Competences in quantitative research methods – ideally knowledge of several of the following
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) • Preferably demonstrable experience in academic writing for publication (e.g. first or co-authored peer reviewed papers) • Well-developed statistical software skills (preferably in R, Python, GIS