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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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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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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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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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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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duration of the PhD thesis work. For detailed information on the application process, available research topics, and eligibility requirements, please visit our website: https://biotop.boku.ac.at Deadline
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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
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Application: We are looking forward to receiving your online application. The full, legally binding call for application (in German) including the salary can be found here: https://lfuonline.uibk.ac.at/public