25 phd-in-computer-vision-and-machine-learning Postdoctoral positions at Chalmers University of Technology in Sweden
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, two researchers, and about ten PhD students. Our research focuses on aircraft propulsion and covers: System-level assessments Engine concept development Component design and optimization (e.g
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to develop solutions with real world relevance and impact. This project will be carried out in close collaboration with researchers from the Division of Material and Computational Mechanics at IMS and the
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limit can be made for longer periods resulting from parental leave, sick leave or military service. The following experience will strengthen your application: Experience with synchrotron-based
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of junior students (PhD or Master); - solid experience with laser frequency combs and/or silicon photonics. It is meritorious if you have: - knowledge of standard finite element solvers and computational
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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
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candidate low-dimensional magnetoelectrics; (b) evaluation of their magnetoelectric properties using density functional theory (DFT) and related computational methods; and (c) advancing theories of novel
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at the nanoscale --non-invasively and with high precision. Who we are looking for We seek candidates with the following qualifications: We are seeking a talented and driven individual with a PhD in physics, optics
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are looking for We seek candidates with the following qualifications: Applicants should have a PhD in astrophysics by the start of the appointment, demonstrated experience with MHD simulations in relation
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impact on food security and promote a more sustainable blue bioeconomy. We seek candidates with the following qualifications: To qualify as a Postdoc, the applicant must hold a PhD degree, awarded no
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passive and active flow control algorithms, potentially incorporating machine learning/AI, to enhance aerodynamic performance and stall delay with rapid response times. The research is conducted in