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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
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, the main challenges stem from the implementation of RF front ends, which are highly susceptible to severe impairments such as high phase noise, limited DAC/ADC resolution. On both topics, LS2PR has strong
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the final thesis. The first year of the Ph.D. programme corresponds to the Master in Quantitative Economics and Finance (MQEF). All courses are in English and taught by local faculty and visiting scholars
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-political, participatory, and cross-border planning, as well as Master's-level teaching. The candidate will join a research team working on urban conflicts, migration, governance, and spatial transformation
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). It is located in Toulouse, southwest France, on the main Campus of the University of Toulouse, offering a multidisciplinary education in the fields of science, health, engineering, and technology
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and abnormal human behaviour forecasting in dynamic real-world environments. The framework addresses two primary tasks: multi-object tracking (MOT) and video anomaly detection. For MOT, it proposes a
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help with the document management system and author portal Serve as the principal point-of-contact for Chapter Scientists and Review Editors Contribute content for WGIII pages of the IPCC website and
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; An analytic curriculum vitae listing publications; 3 publications showing the range and quality of the research of the applicant; 2 syllabi for courses linked to the needs mentioned above (1 Bachelor, 1 Master
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material, such as web, demos, events, to increase the visibility and impact of the lab's work Contribute to teaching and (co-)supervision of students Your profile Master's degree in Computer Science, Human
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resource development. Supervisory Team Main Supervisor (host institution): Prof. Dr. Ingo Sass (GFZ/ TU Darmstadt) Co-supervisor(s): Dr. Juliane Kummerow (GFZ) Planned Secondments (institution, country