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application! Work assignments The Division of Automatic Control at the Department of Electrical Engineering invites applications for a postdoctoral position in optimal motion planning and model predictive
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empirical support in research for the view that temporal information, in combination with diversification, plays a crucial role in controlling risk. The project aims to investigate how abrupt changes in
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inverse design, optimization, and/or machine learning for designing and optimizing devices in integrated photonics, which will be subsequently fabricated and tested by our experimental partners in Metapix
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recently identified signaling pathway by Rolny and colleagues that controls the tumor-promoting functions of TAMs has opened up new avenues for targeted immunotherapy. The project has a strong translational
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, aiming to create automated and AI-assisted microscopy workflows for large-scale human cell imaging and modeling. You will be responsible for developing and optimizing wet-lab and imaging protocols
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crucial role in controlling risk. The project aims to investigate how abrupt changes in dynamics, such as hidden Markov models or statistical jump models, affect the optimal decision-making process for
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measurement and control platform for optimal island operation of Chalmers’ wind-battery system. Machine learning-based forecasting tools for renewable production using limited local measurement data
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interaction between biotin and streptavidin can be used to achieve maximal signal-to-noise and detection of picomolar levels of protein in the blood. The laboratory’s part of the project is to test and optimize
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technology, or a related field. You have a strong background in hydrodynamics and ship manoeuvring. You should also have a good understanding of control theory and optimization. Additional requirements
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. You have a strong background in hydrodynamics and ship manoeuvring. You should also have a good understanding of control theory and optimization. Additional requirements: Knowledge of maritime transport