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a research staff of 180, of which 65 are PhD students. Read more about MBW at the Department of Molecular Biosciences, The Wenner-Gren Institute (MBW) . Data-driven life science (DDLS) uses data
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, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
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, and five post-doctoral researchers. The department has a broad research tradition, where the main research areas are Public Economics, Labor Economics, Environmental Economics, and Industrial
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resistance potential of ash trees. The project aims to support conservation efforts by refining selection criteria for resistant ash based on a comprehensive understanding of disease dynamics and environmental
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the division of Geoscience and Remote Sensing we conduct research to tackle global environmental problems and to understand processes of the Earth system. We develop sensors, gather and analyse data
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technology, building physics, HVAC systems, computer science and control systems architecture, thereby advancing all disciplines involved. The project is a collaboration with Building Services Engineering
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and experiences. We regard gender equality and diversity as a strength and an asset. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-yr initiative funded with
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university. More information about us, please visit: the Department of Biochemistry and Biophysics . Project description Project title: Biology-informed Robust AI Methods for Inferring Complex Gene Regulatory
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that collectively represent an object or a scene. This data structure plays a crucial role in distributed autonomous systems, enabling applications such as augmented reality, autonomous vehicles, and environmental
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qualifications: a PhD or equivalent research qualification within chemical engineering or water and environmental engineering In-depth knowledge in process engineering and process automation Knowledge and skills