Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
at least one of the following areas: Combustion, Fluid Mechanics, Acoustics, Control Engineering, Dynamic Systems, Scientific Computing. Experience in scientific computing and numerical simulation
-
numerical modelling, wave-flume experiments and field measurements. The project offers a unique opportunity for a PhD candidate to develop computational and experimental expertise, build a professional
-
together investigate and advance the fluid mechanics, the resin formulation, the mechanical properties, and process integration during Direct Bubble Writing. This novel additive manufacturing process for
-
Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 14 days ago
per month, based on your experience Selection process Please submit online : your resume, cover letter and letters of recommendation eventually Website for additional job details https://jobs.inria.fr
-
a Sustainable Future . Read more about working at Aalto:https://www.aalto.fi/en/careers-at-aalto and c heck out our new virtual campus experience: https://virtualtour.aalto.fi About Finland Finland
-
laboratory experiments (~30%) experiment setup and operation (~10%) sample analysis by wet chemistry (~10%) acid washing sample and analysis vials and containers (~10%) Activities for outdoor field experiments
-
, Informatics, or a related discipline. A strong academic record is required, corresponding to a weighted average grade of B or higher. Experience with computational fluid dynamics (CFD) simulations is highly
-
Lexington, KY Grade Level 06 Salary Range $16.20-24.82/hour Type of Position Staff Position Time Status Full-Time Required Education HS Click here for more information about equivalencies: https://hr.uky.edu
-
and with a team * Promote customer service * Work varied hours and shifts to include evenings, weekends, and holidays * Preferred Qualifications – if applicable: Six months of continuous work experience
-
, AI, Computational Fluid Dynamics, Hydrodynamics, Optimisation, or a related discipline. Experience of applying machine learning and deep learning to engineering or physical systems. Strong scientific