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sought-after partner in both academic and public-sector collaboration. The research focus includes energy system optimization models, sustainable energy and climate transition, scenario analysis, and
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-scale conditions and evaluate recycled bio ashes as a source of nutrients or growth-promoting components. The research will optimize cultivation and exposure conditions, quantify metal uptake by
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of software infrastructure to optimize data workflows Developing analytical methods to integrate different types of sequencing-based DNA data. Developing computational models for prognosis and treatment
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-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data-driven approach for optimizing the growth of semiconductor materials by combining
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, or equivalent technologies. Knowledge of porting CPU-based CFD and multiphysics codes to heterogeneous HPC architectures. Experience in performance analysis, profiling, and optimization of parallel applications
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conducted in collaboration with BioMS and experts in proteomics and peptidomics at Lund University. The duties include: Planning and conducting experiments. Developing and optimizing methods for sample
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systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
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technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm
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, and efficiency of the turbines. Therefore, understanding when to renovate waterway components in a turbine is key to preserving optimal performance. However, the characteristics and effects
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conversion. Integration of developed materials into soft and deformable thermal energy-harvesting devices. Characterization and optimization of the thermoelectric, electrochemical, and energy-conversion