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The PhD position is embedded in the research programme of Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by dr. J.A.M. de Grefte, prof. dr. B.P. de Bruin and
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background in cosmology, astrophysics, physics, mathematics and/or computer sciences, who seek to obtain a Joint-PhD degree from the University of Groningen and Tartu Observatory. To be eligible to apply, a
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(GGSL). The GGSL offers a training program to help carry out this research. Your training program will be tailored to your interests, and needs for development. During your appointment, you will publish
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skilled in computational chemistry and data-driven approaches to develop new catalytic asymmetric reactions. World-leading industrial partners with a wide range of interests will provide advice on which
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supervisors, you will conduct independent scientific research resulting in a dissertation. You will be accommodated at the Groningen Graduate School of Law (GGSL). The GGSL offers a training program to help
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academic research groups with expertise in experimental catalyst development and theoretical groups skilled in computational chemistry and data-driven approaches to develop new catalytic asymmetric reactions
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for Energy Business and Economics Research (CEnBER - https://www.rug.nl/cenber/ ) and in the research programme Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by
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(spoken and written). Preferred qualifications Prior experience with 3D cell culture, organoids, CRISPR-Cas9, or imaging-based phenotyping. Familiarity with transcriptomics or basic computational biology (R
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together academic research groups with expertise in experimental catalyst development and theoretical groups skilled in computational chemistry and data-driven approaches to develop new catalytic asymmetric
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for realizing challenging asymmetric catalytic methods. This network brings together academic research groups with expertise in experimental catalyst development and theoretical groups skilled in computational