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his PhD degree in Prof. Curtis Berlinguette’s lab at University of British Columbia in Canada in 2018. He then moved to Prof. Erwin Reisner’s lab at the University of Cambridge for postdoc program. In
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profile Bachelor's degree or equivalent in computer science, engineering, data science, or another field but with equivalent and proven experience First experience of collaborative research, research data
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of this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture
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data resources for different research applications Knowledge of computer programming languages Experience of working in a high-performance computing environment (e.g. Slurm) and/or with public/private
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operation, and system reliability. As part of this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device
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, or biomolecular systems. The research program should connect to the wider Bonn science landscape and should facilitate close collaborations within the Department and the university’s Transdisciplinary Research
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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
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enrolled in a Master’s program in plant sciences, crop science, plant breeding, or a related field. You are interested in fieldwork and data collection. Knowledge or experience with data analysis is an asset
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preparation for statistical analysis; Or a Master’s degree in health services research, public health, statistics, economics or a related field Proficiency with at least one statistical programming language
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program, leading to joint PhDs with degrees from both universities. Applications are sought from outstanding candidates with backgrounds in chemistry, physics, materials science and related disciplines