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Postdoc Modelling, CFD and Experimental Development of an Innovative Absorption Injector H/F Modelling, CFD and Experimental Development of an Innovative Absorption Injector The Postdoctoral
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Postdoc: Machine learning for wind flow prediction in coastal dunes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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CFD and FEM simulations of the coupled flow and structural response Collaborate with senior researchers and industrial partners, including regular meetings and workshops Write technical reports and
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design and optimization, the other on CFD-driven digital modeling and thermal prediction. The two postdocs will work in close interaction. Expected start date and duration of employment Each postdoc
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through the EU Research Framework Programme? Other EU programme Reference Number CARNOT HyLBM - PostDoc CFD Is the Job related to staff position within a Research Infrastructure? No Offer Description
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At AAU Energy, a position as Postdoc in thermal processes in power to X technologies is open for appointment from 1st October 2026 or as soon as possible hereafter. The position is available for a
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department (GRS) working closely with PhD researchers, postdocs, and professors in an open and collaborative environment, where you will receive full support and training to grow in your career. This project
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given to candidates who can start at this time). This position is funded through a project to research on roadway hydraulic structure perform, such as culvert, through computational fluid dynamics (CFD
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processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude for team work and excellent communication skills in spoken and written
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: Radiology, RSL Bioengineering Postdoc Appointment Term: 1-year with possible extension to two or more Appointment Start Date: 9/1/2026 Group or Departmental Website: https://med.stanford.edu/cmrgroup.html