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We are Austria’s largest research and technology organisation and an international player in applied research for innovative infrastructure solutions. This makes us a powerful development partner for industry and a top employer in the scientific community. Our Center for Energy is seeking to...
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systems on the path towards a sustainable future. The position is initially limited to 6 months, but can be extended (there is funding for up to 4 years). You can expect: Creation of optimization models
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project: 3 years Application period: At any time What to expect: EUR 34.507,20 gross per year, for 30 h / week based on the collective agreement. In addition to numerous events, seminars, networking
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). • Experience with quantitative analysis, such as statistics, scientific programming, and/or numerical modelling. • Excellent written and spoken English (working language is English). • Ability to work
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programming and quantitative analysis (e.g., statistics, scientific programming, numerical simulation) • Excellent written and spoken English (working language is English). • Ability to work independently
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, with possibility of one extra year extension. ROLE WITHIN THE RESEARCH PROJECT Microscopy of fluorophore tagged transcription factor localization upon different stimuli Development and optimization
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, through the optimization of their production and application, to the comprehensive ecological and economic evaluation of the resulting solutions. The successful applicant will be employed by VTL GmbH in
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aims to investigate all aspects of biogenic dyes, from the identification of dye-producing bacteria and the characterization of their pigments, through the optimization of their production and
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livable city world-wide, with a rich culture, numerous recreational opportunities and beautiful nature surroundings. Good public transport connections: Your workplace in the center of Vienna is easily
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in Physics, Mathematics, Computer Science or a closely related field, ideally with a strong focus on quantum computing and numerical simulations. • Experience in data-reuploading quantum algorithms