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. Required PhD student academic qualifications: Honours/Msc degree in microbiology/bioinformatics, with specific emphasis on functional microbial multi-omic data analysis. Knowledge of a programming language
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communication skills in Swedish, Strong knowledge of electric power engineering, power electronics, and power system analysis, Experience of modelling, simulation, and experimental work. In an overall assessment
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Cycle Assessment (LCA), Input-Output analysis (I/O), and Material Flow Analysis (MFA) with scientists’ contribution to IPCC and IPBES assessment reports, the International Resource Panel, active
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for the analysis and control of large classes of nonlinear and high-dimensional systems, such as air flow dynamics in complex greenhouse environments. In this PhD project, you will explore and conduct research
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real-world quantum computers. The project combines numerical analysis, scientific computing, quantum computing, and aerospace engineering in an exciting interdisciplinary research environment. You will
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, structural dynamics, vibration measurement and analysis, structural health monitoring, data science or related fields. Programming skills in one or more scientific computing environments, such as Python
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high pH and co-solvent can achieve high iodine solubility and high open circuit voltage. However, this battery type is in early stage of development. Further analysis is required, including studying
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with techno-economic analysis and life cycle assessment (desirable but not required). Strong collaboration, communication and writing skills. TU Delft (Delft University of Technology) Working at TU Delft
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on genetically and optically tractable arthropod species that satisfy a number of appealing biological and technical requirements. We combine advanced microscopy and image analysis pipelines with genetic and
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experience with process optimization (desirable). Prior experience with techno-economic analysis and life cycle assessment (desirable but not required). Strong collaboration, communication and writing skills