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Training Program. Associate Professors will take active leadership roles in research development, supervision, and external funding initiatives. What we expect Applicants must hold a PhD in Energy
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consists of a diverse set of people from different nationalities, backgrounds, and fields. As a PhD student working with us, you receive the benefits of support in career development, networking
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the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Candidates without a master’s degree have until 31.08.2026 to complete the final exam. The purpose of the fellowship is
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professional capabilities. The Lecturer (Education Focused) is also expected to actively promote the program by establishing and maintaining memberships, links and partnerships with academic, industry and
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Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences | Czech | about 2 months ago
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated PhD student to join our
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6 Mar 2026 Job Information Organisation/Company Barcelona School of Economics Research Field Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Positions PhD Positions
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flow”, which is one sub project in the European Training Network COMBINE, where a total of 17 PhD positions are available at the premises of 14 European institutions from academia and industry: https
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academic and industrial training, preparing you for diverse career pathways in research or industry • Cohort Experience: Build your research network through inclusion in a vibrant cohort of PhD students
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DAAD scholarships. Students enrolled in the PhD programme work on a three-year research project and attend seminars, conventions and lab courses. They are encouraged and supported by a network of
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(e.g., PyTorch, TensorFlow, Keras) Computer vision models for object detection and classification (e.g., YOLO, R-CNN variants, EfficientNet, ResNet, U-Net) Image processing and computer vision techniques