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education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with
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project focuses on developing a mechanistic understanding of coupled redox–dissolution pathways in multi-metal oxide systems and how these pathways can be inferred from real-time process signals. Using
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international impact of Baltic and Eastern European research from Södertörn University, as well as achieve recognition of the university’s status as a knowledge hub. CBEES is a point of contact, not just within
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electrode and electrolyte materials, characterize them, evaluate and improve them with respect to battery performance, and study fundamental chemical processes and properties using both experimental and
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: It is highly meritorious if the doctoral degree has been obtained within the last three years prior to the application deadline Experience with optical instrumentation and quantitative signal analysis
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learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron Collider, with the support of competent and friendly colleagues in
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. Ability to work both independently and in a group, Preferred qualifications Experience in wearable robotics, exoskeletons, soft robotics, or physical human-robot interaction. Experience in sensors, signal
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building a better understanding in the signaling controlling cell fate acquisition in Arabidopsis root. The candidate will aim at dissecting the role of the cuticle layer in this process. The project is
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by real-world challenges arising across different application domains. The research focuses on strengthening product/production development processes, and decision-making in complex engineering systems
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analysis to better understand how molecular and cellular processes are coordinated across cells, tissues, and organ systems in human health and disease. You will be responsible for developing and applying