22 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Chalmers University of Technology in Sweden
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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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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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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
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through publications in high-impact journals and presentations at international conferences. Qualifications A PhD in Physics, Chemistry, Mechanical Engineering, Energy Sciences, or a related field, obtained
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are looking for We seek candidates with the following qualifications: To qualify as a post doc, you should hold a PhD degree in physics and have a strong interest in condensed matter physics. You should already
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. PhD in a relevant field (e.g., logistics, supply chain management, operations management, engineering, or related disciplines). Experience with case study methodology and the ability to translate