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for biological image data, scalable computer vision methods preparation of publications for submission to top-tier machine learning conferences contribution to teaching and/or supervision of Bachelor's and
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would co-develop the research objectives and select the methods to be implemented with supervisory support. Some ideas to discuss include integrating repeat GEDI LiDAR surveys with time-series
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consistent scientific methods for mobility planning and management, (2) integrate a new set of modular metrics for responsible mobility, (3) embed the planning methods into the open data AgiMo Digital Twin, (4
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electron microscopy using a transmission electron microscopy (TEM) and a scanning electron microscopy (SEM). Experience developing new or existing electron microscopy instrumentation or methods. Significant
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is to explore and use available data sources to estimate prevalence of key infections (tuberculosis, HIV, hepatitis B virus (HBV) and hepatitis C virus (HCV)) among migrants to high-income countries
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driven RUL estimation for sustainable machining operations”. Nowhere in the text, it is explained what the abbreviation RUL stands for. The position is funded in the context of the project MADE React co
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Technology, Campus Norrköping. Your work assignments This position is motivated by the need for reliable visualization and data analysis methods that support understanding of the increasing amount
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. The developed technology will be rooted in causal reasoning, and we envision leveraging causal generative AI methods to develop a rigorous and comprehensive AI testbed. Clinical applications include, but are not
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled