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foundations, quantum information theory, and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching
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. You will be part of our team and develop new ideas, technologies and experiments to provide new insights on macroscopic quantum physics, on gravity at small scales and, in the long run
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foundations, quantum information theory, and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching
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-cell transcriptomics and modern statistical/AI methodology to address this gap using in-house developed cell atlases. We will develop and benchmark approaches that infer copy-number changes and CIN
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suitable host organisms for recombinant production identify and solve metabolic bottlenecks develop cost-effective multi enzyme cascades with cofactor regeneration (if applicable) for in vivo and in vitro
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23 Jan 2026 Job Information Organisation/Company University of Graz Department Department of Business Education and Development Research Field Other Researcher Profile First Stage Researcher (R1
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dataset(s) - Development of new survey and collection of original survey data - Development and implementation of experimental studies - Writing and contributing to scientific papers for peer
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with other partners in the consortium develop a life-cycle-analysis (LCA) framework for selected pigment manufacturing and dye application processes, effectively incorporating process engineering data
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and congresses, further training) Your profile Completed relevant Master's, Magister or Diploma degree in architecture in-depth knowledge of digital design methods and the development/application
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as evidence of ongoing CIN. This PhD will work at the leading edge of single-cell transcriptomics and modern statistical/AI methodology to address this gap using in-house developed cell atlases. We