117 postdoc-computational-fluid-dynamics PhD positions at University of Groningen in Netherlands
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Organisation Job description Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education offering high
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– tailored to SWs, but applicable to other species - to investigate the long-term implications of rapid environmental change on the population dynamics of social species. Organisation Founded in 1614
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of rapid environmental change on the population dynamics of social species. Organisation Founded in 1614, the University of Groningen enjoys an international reputation as a dynamic and innovative
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
methodologies. Organisation Founded in 1614, the University of Groningen enjoys an international reputation as a dynamic and innovative institution of higher education offering high-quality teaching and research
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reputation as a dynamic and innovative institution of higher education offering high-quality teaching and research. Flexible study programmes and academic career opportunities in a wide variety of disciplines
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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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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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Organisation Job description Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education offering high
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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