17 postdoctoral-fluid-flow Postdoctoral positions at Chalmers University of Technology
Sort by
Refine Your Search
-
the effect of magnetic perturbations, material injection and instabilities. As a postdoctoral scientist, you are employed by Chalmers and will receive a salary according to current salary agreements
-
. The postdoctoral project will be focused on the design of optimized generation schemes for tailor-made electron beam and radiation sources in laser-produced plasmas. As a postdoctoral scientist, you are employed by
-
electron beam and radiation sources in laser-produced plasmas. As a postdoctoral scientist, you are employed by Chalmers and will receive a salary according to current salary agreements. Qualifications PhD
-
fluids, flow-induced pattern formation in both simple and complex flows (e.g. flow instabilities, product defects), multiscale analysis, and the application of machine learning techniques. About the
-
Programme? Not funded by a EU programme Reference Number 304--1-14183 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a postdoctoral researcher
-
nanochannel fluid flow, mechanical reliability, and immersion cooling behaviour. Your major responsibility as a postdoc is to perform your own research in a research group. The position may also include
-
that set the performance limits of state-of-the-art Gallium Nitride (GaN) technologies. In this project, Chalmers University of Technology invites applications for a postdoctoral researcher position in GaN
-
Are you ready to drive sustainable innovation in carbon fibre recycling at Chalmers University of Technology? We are looking for a postdoctoral researcher to join a cross disciplinary project at
-
We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
-
We are seeking a highly motivated and skilled Postdoctoral researcher with interdisciplinary expertise to develop risk assessment and mitigation models using Large Language Models (LLMs