100 phd-position-in-database-modeling Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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We invite applications for a 3-year full-time Postdoctoral Researcher position in (Exo)Planetary Climate Modelling to join the newly established research group led by Dr João M. Mendonça
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? Then this may be the right opportunity for you. The Astronomy Group within the School of Physics and Astronomy at the University of Southampton invites applications for a Research Fellow position in
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vitro cellular assays. Experience in using mouse disease models is also desirable. Scientific knowledge in the areas described above equivalent to PhD* level is required. The post-holder will possess
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. The candidate will use discrete adjoint libraries in OpenFOAM to improve turbulence modelling of environmental flows. There will also be opportunities to get involved in other projects in experimental fluid
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universities and over 30 industrial partners. At the University of Southampton, our team contributes expertise in reaction engineering and kinetic modelling for catalytic, photocatalytic, and sustainable
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We seek a seismologist to fill a Postdoctoral research position as part of a new NERC-funded project investigating seismicity, fluid processes and structure in active rift zones. The new project
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decision modelling This is a full-time fixed-term position until 31 March 2027, and subject to funding an extension is anticipated. Applications for part-time will be considered, please indicate this in your
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hold a PhD (or equivalent experience) in Plasma physics, Aerodynamics, Mechanical, or Aerospace Engineering. Essential criteria include experience in numerical modelling of plasma flows and discharge
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of extension to September of 2028. Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title
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the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling methods that combine historical