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apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and Materials Theory division, a
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graphene-based field effect transistor sensors with biological receptors for infection biomarkers, and optimize this technology for diagnosing infections in the wound settings. As a postdoctoral researcher
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methods and models for digital twin simulation in autonomous shipping, and integrate them into a cohesive model. Energy optimization: Develop a dynamic energy optimization model for hybrid and electrified
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analyses, as well as optimizing growth on waste biomass and conducting large-scale fermentations. You will be part of an interdisciplinary team at Chalmers and collaborate regularly with industry experts
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that play a key role in biomineralization. Your work will include microbiology experiments, genetic engineering, protein purification, and biochemical analyses, as well as optimizing growth on waste biomass
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capabilities. You will explore the electrochemical response of operando cells compared to typical lab-based cells and optimize electrode geometires.This project is part of Batteries Sweden (BASE) and with
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We are seeking a highly motivated doctoral student to develop ship physics-integrated machine learning models for real-time prediction and optimization of wind-assisted ship propulsion systems
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on III-nitride devices and circuits for both high frequency and power applications. We will explore new concepts in III-nitride semiconductor material and device processing to optimize different important
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are looking for a curious and driven postdoctoral researcher to join a project focused on improving how we study and optimize medical treatments. The work centers on advancing a vessel-on-a-chip platform—a
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—knowledge essential for designing new materials with properties optimized for specific technologies. The main research tools will include advanced neutron spectroscopy at facilities such as the ISIS Neutron