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cover forestry systems in boreal Sweden. The project will develop bottom-up estimates of the forest ecosystem carbon balance and evaluate the trade-offs and synergies among carbon balance, timber
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fundamental questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range from theory and computer
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research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division
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, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
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fundamental and applied research in different areas of Human-Computer Interaction (HCI) such as visualization, human-centered design, privacy, graphical design, and human-centered AI. We are looking
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image
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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
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measurements, vegetation inventory and biodiversity assessments for a set of diverse continuous cover forestry systems in boreal Sweden. The project will develop bottom-up estimates of the forest ecosystem
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(AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines