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. Other responsibilities include tasks related to participant recruitment, the planning of the experiments, data collection, and research documentation. The doctoral researcher will also be responsible
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-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed and efficiency of life sciences research
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nucleation pathways related to different emissions characteristics at the engine exhaust. The collected data would be helpful to validate the microphysics models for ice nucleation process, hence clarifying
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students; • Teach independently within the scope of the provisions of the collective bargaining agreement, including the co-supervision of BSc and MSc theses; • Publish your scientific results in peer
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Control of Continuum Surgical Robots. This task focuses on advanced sensing, perception, and intelligent control of continuum surgical robotic systems. Responsibilities include: Integration of different
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. For this project the postdoctoral scholar will be expected to coordinate data collection, organize a large collection of longitudinal data to ensure anonymity, conduct interviews, analyze qualitative and
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into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and
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and inference for distributed AI agents, and how the realities of networked operation shape the design of adaptive, resilient intelligence. Finally, the research will address how groups of embodied
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, providing international and regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. We are recruiting a creative, rigorous Postdoctoral
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to new applications of machine learning and artificial intelligence to analysis of experimental data. Of particular interest will be new approaches for tackling multimodal data, quantifying uncertainty