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Field
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for clinical trial applications. Your Profile: PhD and/or MD degree with international academic experience and outstanding track record of productivity. A strong record of creative, innovative research in
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Competency in visualizing and analyzing large-scale datasets using software tools like Matlab, IDL, Ferret, Python, or R Merit criteria: Proven track record of publishing high-quality articles in peer-reviewed
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include: Taking responsibility for project management, you will define key milestones, organize and conduct experimental work, and track overall project progress. You will coordinate project teams with a
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well as knowledge representation and inference. In the research project DrawOn, new technologies for analyzing 2D digital drawings and reconstructing 3D building models will be developed. The goal of this project is
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first academic degree who want to pursue a Master’s programme (thesis track) in Jordan. What can be funded? The In-Region Scholarship Programme supports full-time studies in subject areas with strong
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programme (thesis track) in their home country. (In-Country scholarships are aimed at students who study in their home country or in the country for which they have a residence permit.) What can be funded
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skills, which are relevant in academic teaching as well as in many non-academic professions, and supports PhD candidates in elaborating their own teaching portfolios. Multi-track supervision and mentoring
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field. Extensive experience and in-depth knowledge in the field of microelectronics and semiconductor manufacturing. You already have a proven track record in leading project or research teams. Structured
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candidate will show in-depth methodological and applied knowledge in the field of machine learning, especially deep learning, experiences in the area of uncertainty quantification, generative and Bayesian
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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D